2020
|
Konen, Wolfgang The GBG Class Interface Tutorial V2.1: General Board Game Playing and Learning Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020. Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning @techreport{Konen20a,
title = {The GBG Class Interface Tutorial V2.1: General Board Game Playing and Learning},
author = {Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone20a.d/TR-GBG.pdf},
year = {2020},
date = {2020-01-01},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {CI, Game Learning, general game playing, learning, optimization, reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
|
Konen, Wolfgang; Bagheri, Samineh Reinforcement Learning for N-Player Games: The Importance of Final Adaptation Konferenzbeitrag Vasile, Massimiliano; Filipic, Bogdan (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), Bruxelles, 2020. Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning @inproceedings{Konen20b,
title = {Reinforcement Learning for N-Player Games: The Importance of Final Adaptation},
author = {Wolfgang Konen and Samineh Bagheri},
editor = {Massimiliano Vasile and Bogdan Filipic },
url = {http://www.gm.fh-koeln.de/ciopwebpub/Konen20b.d/bioma20-TDNTuple.pdf},
year = {2020},
date = {2020-01-01},
booktitle = {9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA)},
address = {Bruxelles},
keywords = {CI, Game Learning, general game playing, learning, optimization, reinforcement learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Konen, Wolfgang; Bagheri, Samineh Final Adaptation Reinforcement Learning for N-Player Games Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020. Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning @techreport{Konen20b_TR,
title = {Final Adaptation Reinforcement Learning for N-Player Games},
author = {Wolfgang Konen and Samineh Bagheri},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Konen20b_TR.d/Konen20b_TR.pdf},
year = {2020},
date = {2020-01-01},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {CI, Game Learning, general game playing, learning, optimization, reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
|
Konen, Wolfgang Die CO2-Kosten des Video-Streaming Artikel Die Neue Hochschule (dnh), 3 , S. 18-19, 2020. Links | BibTeX | Schlagwörter: digital content, online teaching, video streaming @article{Konen20c,
title = {Die CO2-Kosten des Video-Streaming},
author = {Wolfgang Konen},
url = {https://www.th-koeln.de/mam/downloads/deutsch/hochschule/aktuell/nachrichten/dnh_2020-3_vorveroffentlichung_beitrag_konen.pdf},
year = {2020},
date = {2020-01-01},
journal = {Die Neue Hochschule (dnh)},
volume = {3},
pages = {18-19},
keywords = {digital content, online teaching, video streaming},
pubstate = {published},
tppubtype = {article}
}
|
Thill, Markus; Konen, Wolfgang; Bäck, Thomas Time Series Encodings with Temporal Convolutional Networks Konferenzbeitrag Vasile, Massimiliano; Filipic, Bogdan (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), 2020. Links | BibTeX | Schlagwörter: anomaly detection, deep learning, TCN, time series @inproceedings{Thill20a,
title = {Time Series Encodings with Temporal Convolutional Networks},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
editor = {Massimiliano Vasile and Bogdan Filipic },
url = {http://www.gm.fh-koeln.de/ciopwebpub/Thill20a.d/bioma2020-tcn.pdf},
year = {2020},
date = {2020-01-01},
booktitle = {9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA)},
keywords = {anomaly detection, deep learning, TCN, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2019
|
Konen, Wolfgang General Board Game Playing for Education and Research in Generic AI Game Learning Konferenzbeitrag Perez, Diego; Mostaghim, Sanaz; Lucas, Simon (Hrsg.): IEEE Conference on Games, London, 2019. Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning @inproceedings{Konen19b,
title = {General Board Game Playing for Education and Research in Generic AI Game Learning},
author = {Wolfgang Konen},
editor = {Diego Perez and Sanaz Mostaghim and Simon Lucas},
url = {https://arxiv.org/pdf/1907.06508},
year = {2019},
date = {2019-08-20},
booktitle = {IEEE Conference on Games},
address = {London},
keywords = {CI, Game Learning, general game playing, learning, optimization, reinforcement learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning Forschungsbericht arXiv preprint arXiv:1904.08397 2019. Links | BibTeX | Schlagwörter: optimization, SACOBRA, surrogate models @techreport{Bagh19b,
title = {SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
url = {https://arxiv.org/abs/1904.08397},
year = {2019},
date = {2019-07-01},
institution = {arXiv preprint arXiv:1904.08397},
keywords = {optimization, SACOBRA, surrogate models},
pubstate = {published},
tppubtype = {techreport}
}
|
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas Solving Optimization Problems with High Conditioning by Means of Online Whitening Konferenzbeitrag Lopez-Ibanez, Manuel (Hrsg.): Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague, S. 243-244, ACM, 2019. Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization, SACOBRA, surrogate models @inproceedings{Bagh19c,
title = {Solving Optimization Problems with High Conditioning by Means of Online Whitening},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
editor = {Manuel Lopez-Ibanez},
url = {http://blogs.gm.fh-koeln.de/ciop/files/2019/07/GECCO2019.pdf},
year = {2019},
date = {2019-07-01},
booktitle = {Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague},
pages = {243-244},
publisher = {ACM},
keywords = {CI, constraints, MONREP, optimization, SACOBRA, surrogate models},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas How to Solve the Dilemma of Margin-Based Equality Constraint Handling Methods Artikel at-Automatisierungstechnik, submitted , 2019. BibTeX | Schlagwörter: optimization, SACOBRA, surrogate models @article{Bagh19a,
title = {How to Solve the Dilemma of Margin-Based Equality Constraint Handling Methods},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
year = {2019},
date = {2019-01-01},
journal = {at-Automatisierungstechnik},
volume = {submitted},
keywords = {optimization, SACOBRA, surrogate models},
pubstate = {published},
tppubtype = {article}
}
|
Buhl, Henning; Konen, Wolfgang; Thill, Markus Deep Learning mit Keras und Tensorflow Sonstige Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019), 2019. Links | BibTeX | Schlagwörter: deep learning @misc{Buhl19,
title = {Deep Learning mit Keras und Tensorflow},
author = {Henning Buhl and Wolfgang Konen and Markus Thill},
url = {https://github.com/HenningBuhl/DLKTF},
year = {2019},
date = {2019-01-01},
howpublished = {Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019)},
keywords = {deep learning},
pubstate = {published},
tppubtype = {misc}
}
|
Konen, Wolfgang The GBG Class Interface Tutorial V2.0: General Board Game Playing and Learning Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2019. Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning @techreport{Konen19a,
title = {The GBG Class Interface Tutorial V2.0: General Board Game Playing and Learning},
author = {Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone19a.d/TR-GBG.pdf},
year = {2019},
date = {2019-01-01},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {CI, Game Learning, general game playing, learning, optimization, reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
|
Thill, Markus; Däubner, Sina; Konen, Wolfgang; Bäck, Thomas Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks Konferenzbeitrag á, Petra Barancíkov; Holena, Martin; others, (Hrsg.): Proc. 19th Conference Information Technologies - Applications
and Theory (ITAT 2019), 2019, (Best Paper Award). Links | BibTeX | Schlagwörter: @inproceedings{Thill2019a,
title = {Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks},
author = {Markus Thill and Sina Däubner and Wolfgang Konen and Thomas Bäck},
editor = {Petra Barancíkov á and Martin Holena and others},
url = {http://ceur-ws.org/Vol-2473},
year = {2019},
date = {2019-01-01},
booktitle = {Proc. 19th Conference Information Technologies - Applications
and Theory (ITAT 2019)},
volume = {2473},
series = {CEUR Workshop Proceedings},
note = {Best Paper Award},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2018
|
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas How to Solve the Dilemma of Margin-Based Equality Handling Methods Konferenzbeitrag Hoffmann, Frank; Hüllermeier, Eyke; Mikut, Ralf (Hrsg.): Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018, S. 257-270, KIT Scientific Publishing, Karlsruhe, 2018, ISBN: 978-3-7315-0845-8, (**Young Author Award**). Links | BibTeX | Schlagwörter: equality constraint, optimization, SACOBRA, surrogate models @inproceedings{Bagheri2018,
title = {How to Solve the Dilemma of Margin-Based Equality Handling Methods},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
editor = {Frank Hoffmann and Eyke Hüllermeier and Ralf Mikut},
url = {https://blogs.gm.fh-koeln.de/ciop/files/2018/12/GMA2018.pdf},
doi = {10.5445/KSP/1000085935},
isbn = {978-3-7315-0845-8},
year = {2018},
date = {2018-11-29},
booktitle = {Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018},
pages = {257-270},
publisher = {KIT Scientific Publishing, Karlsruhe},
note = {**Young Author Award**},
keywords = {equality constraint, optimization, SACOBRA, surrogate models},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Thill, Markus; Konen, Wolfgang; Bäck, Thomas Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) TH Köln - University of Applied Science, 2018, (submitted to Archives of Data Sciences, Series A (ECDA'2018), preprint available at http://www.gm.fh-koeln.de/ciopwebpub/Thill18a.d/AoDS2018.pdf). Links | BibTeX | Schlagwörter: anomaly detection, DWT, maximum likelihood estimation, time series, wavelet transform @techreport{Thill2018,
title = {Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Thill18.d/AoDS2018.pdf},
year = {2018},
date = {2018-11-01},
address = {TH Köln - University of Applied Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {submitted to Archives of Data Sciences, Series A (ECDA'2018), preprint available at http://www.gm.fh-koeln.de/ciopwebpub/Thill18a.d/AoDS2018.pdf},
keywords = {anomaly detection, DWT, maximum likelihood estimation, time series, wavelet transform},
pubstate = {published},
tppubtype = {techreport}
}
|
Konen, Wolfgang; Koch, Patrick The TDMR 2.0 Package: Tuned Data Mining in R Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (02/2018), 2018, (Last update: April 2018 (original version: 2012)). Links | BibTeX | Schlagwörter: parameter tuning, SOMA, TDMR @techreport{Kone18a,
title = {The TDMR 2.0 Package: Tuned Data Mining in R},
author = {Wolfgang Konen and Patrick Koch},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone12a.d/Kone12a.pdf},
year = {2018},
date = {2018-04-01},
number = {02/2018},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {Last update: April 2018 (original version: 2012)},
keywords = {parameter tuning, SOMA, TDMR},
pubstate = {published},
tppubtype = {techreport}
}
|
Konen, Wolfgang; Koch, Patrick The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (03/2018), 2018, (Last update: April 2018 (original version: 2012)). Links | BibTeX | Schlagwörter: parameter tuning, SOMA, TDMR @techreport{Kone18b,
title = {The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R},
author = {Wolfgang Konen and Patrick Koch},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone12b.d/Kone12b.pdf},
year = {2018},
date = {2018-04-01},
number = {03/2018},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {Last update: April 2018 (original version: 2012)},
keywords = {parameter tuning, SOMA, TDMR},
pubstate = {published},
tppubtype = {techreport}
}
|
2017
|
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas Comparing Kriging and Radial Basis Function Surrogates Konferenzbeitrag Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 243-259, Universitätsverlag Karlsruhe, 2017. Links | BibTeX | Schlagwörter: CI, constraints, Kriging, MONREP, optimization, surrogate models @inproceedings{Bagh17c,
title = {Comparing Kriging and Radial Basis Function Surrogates},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
editor = {Frank Hoffmann and Eyke Hüllermeier},
url = {https://publikationen.bibliothek.kit.edu/1000074341},
year = {2017},
date = {2017-11-01},
booktitle = {Proceedings 27. Workshop Computational Intelligence},
pages = {243-259},
publisher = {Universitätsverlag Karlsruhe},
keywords = {CI, constraints, Kriging, MONREP, optimization, surrogate models},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Thill, Markus; Konen, Wolfgang; Bäck, Thomas Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation Konferenzbeitrag Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 67-71, Universitätsverlag Karlsruhe, 2017. Links | BibTeX | Schlagwörter: anomaly detection, DWT, time series @inproceedings{Thill2017c,
title = {Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
editor = {Frank Hoffmann and Eyke Hüllermeier},
url = {https://publikationen.bibliothek.kit.edu/1000074341},
year = {2017},
date = {2017-11-01},
booktitle = {Proceedings 27. Workshop Computational Intelligence},
pages = {67-71},
publisher = {Universitätsverlag Karlsruhe},
keywords = {anomaly detection, DWT, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bagheri, Samineh; Konen, Wolfgang; Allmendinger, Richard; Branke, Jürgen; Deb, Kalyanmoy; Fieldsend, Jonathan; Quagliarella, Domenico; Sindhya, Karthik Constraint Handling in Efficient Global Optimization Konferenzbeitrag Bosman, Peter A N (Hrsg.): Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin, S. 1, ACM, 2017. Links | BibTeX | Schlagwörter: CI, constraints, Kriging, MONREP, optimization, surrogate models @inproceedings{Bagh17a,
title = {Constraint Handling in Efficient Global Optimization},
author = { Samineh Bagheri and Wolfgang Konen and Richard Allmendinger and Jürgen Branke and Kalyanmoy Deb and Jonathan Fieldsend and Domenico Quagliarella and Karthik Sindhya},
editor = {Bosman, Peter A. N.},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Bagh17-GECCO.pdf},
year = {2017},
date = {2017-07-01},
booktitle = {Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin},
pages = {1},
publisher = {ACM},
keywords = {CI, constraints, Kriging, MONREP, optimization, surrogate models},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Thill, Markus; Konen, Wolfgang; Bäck, Thomas Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation Konferenzbeitrag Valenzuela, Olga; Rojas, Ignacio; others, (Hrsg.): International Work-Conference on Time Series (ITISE2017), 2017. Links | BibTeX | Schlagwörter: anomaly detection, DWT, time series @inproceedings{Thill17b-ITISE,
title = {Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
editor = {Olga Valenzuela and Ignacio Rojas and others},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Thill17b.d/Thill17b-ITISE.pdf},
year = {2017},
date = {2017-07-01},
booktitle = {International Work-Conference on Time Series (ITISE2017)},
keywords = {anomaly detection, DWT, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Konen, Wolfgang The GBG Class Interface Tutorial: General Board Game Playing and Learning Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2017, (e-print published at http://www.gm.fh-koeln.de/ciopwebpub/Kone17a.d/TR-GBG.pdf). Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning @techreport{Kone17a,
title = {The GBG Class Interface Tutorial: General Board Game Playing and Learning},
author = {Konen, Wolfgang},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone17a.d/TR-GBG.pdf},
year = {2017},
date = {2017-06-01},
address = {Cologne University of Applied Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {e-print published at http://www.gm.fh-koeln.de/ciopwebpub/Kone17a.d/TR-GBG.pdf},
keywords = {CI, Game Learning, general game playing, learning, optimization, reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
|
Bagheri, Samineh; Konen, Wolfgang; Emmerich, Michael; Bäck, Thomas Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets Artikel Applied Soft Computing, 61 , S. 377-393, 2017, ISSN: 1568-4946. Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization, surrogate models @article{Bagh17b,
title = {Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets},
author = {Samineh Bagheri and Wolfgang Konen and Michael Emmerich and Thomas Bäck},
url = {http://www.sciencedirect.com/science/article/pii/S1568494617304805},
doi = {https://doi.org/10.1016/j.asoc.2017.07.060},
issn = {1568-4946},
year = {2017},
date = {2017-01-01},
journal = {Applied Soft Computing},
volume = {61},
pages = {377-393},
keywords = {CI, constraints, MONREP, optimization, surrogate models},
pubstate = {published},
tppubtype = {article}
}
|
Thill, Markus; Konen, Wolfgang; Bäck, Thomas Online anomaly detection on the Webscope S5 dataset: A comparative study Konferenzbeitrag IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017), S. 1, Springer 2017. Links | BibTeX | Schlagwörter: anomaly detection, time series @inproceedings{Thill17a-SORAD,
title = {Online anomaly detection on the Webscope S5 dataset: A comparative study},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Thill17a.d/Thill17a-SORAD.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017)},
pages = {1},
organization = {Springer},
keywords = {anomaly detection, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2016
|
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas Online Selection of Surrogate Models for Constrained Black-Box Optimization Konferenzbeitrag Jin, Yaochu (Hrsg.): SSCI'2016, Athens, S. 1, IEEE, 2016, (**Best Student Paper Award**). Links | BibTeX | Schlagwörter: CI, constraints, ensemble, MONREP, optimization @inproceedings{Bagh16c,
title = {Online Selection of Surrogate Models for Constrained Black-Box Optimization},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
editor = {Yaochu Jin},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Bagh16-SSCI.pdf},
year = {2016},
date = {2016-12-01},
booktitle = {SSCI'2016, Athens},
pages = {1},
publisher = {IEEE},
note = {**Best Student Paper Award**},
keywords = {CI, constraints, ensemble, MONREP, optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas Equality Constraint Handling for Surrogate-Assisted Constrained Optimization Konferenzbeitrag Tan, Kay Chen (Hrsg.): WCCI'2016, Vancouver, S. 1924–1931, IEEE, 2016. Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization @inproceedings{Bagh16a,
title = {Equality Constraint Handling for Surrogate-Assisted Constrained Optimization},
author = { Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
editor = {Tan, Kay Chen},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Bagh16-WCCI.pdf},
year = {2016},
date = {2016-07-01},
booktitle = {WCCI'2016, Vancouver},
pages = { 1924--1931},
publisher = {IEEE},
keywords = {CI, constraints, MONREP, optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Konen, Wolfgang Illumination-invariant image mosaic calculation based on logarithmic search Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2016, (e-print published at http://arxiv.org/abs/1603.06433). Links | BibTeX | Schlagwörter: BV-3D-Endo, computer vision, image mosaic, LogSearch, neuroendoscopy @techreport{Kone16a,
title = {Illumination-invariant image mosaic calculation based on logarithmic search},
author = { Wolfgang Konen},
url = {http://arxiv.org/abs/1603.06433},
year = {2016},
date = {2016-03-01},
address = {Cologne University of Applied Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {e-print published at http://arxiv.org/abs/1603.06433},
keywords = {BV-3D-Endo, computer vision, image mosaic, LogSearch, neuroendoscopy},
pubstate = {published},
tppubtype = {techreport}
}
|
Bagheri, Samineh; Thill, Markus; Koch, Patrick; Konen, Wolfgang Online Adaptable Learning Rates for the Game Connect-4 Artikel IEEE Transactions on Computational Intelligence and AI in Games, 8 (1), S. 33-42, 2016, (accepted 11/2014). Links | BibTeX | Schlagwörter: CI, Game Learning, learning, optimization, reinforcement learning @article{Bagh16b,
title = {Online Adaptable Learning Rates for the Game Connect-4},
author = { Samineh Bagheri and Markus Thill and Patrick Koch and Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen//Bagh15.pdf},
doi = {10.1109/TCIAIG.2014.2367105},
year = {2016},
date = {2016-01-01},
journal = {IEEE Transactions on Computational Intelligence and AI in Games},
volume = {8},
number = {1},
pages = {33-42},
note = {accepted 11/2014},
keywords = {CI, Game Learning, learning, optimization, reinforcement learning},
pubstate = {published},
tppubtype = {article}
}
|
2015
|
Bagheri, Samineh; Konen, Wolfgang; Emmerich, Michael; Bäck, Thomas Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (06/15; arXiv: 1512.09251), 2015, ISSN: 2191-365X, (e-print published at http://arxiv.org/abs/1512.09251). Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization @techreport{Bagh15c,
title = {Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control},
author = { Samineh Bagheri and Wolfgang Konen and Michael Emmerich and Thomas Bäck},
url = {http://arxiv.org/abs/1512.09251},
issn = {2191-365X},
year = {2015},
date = {2015-12-01},
number = {06/15; arXiv: 1512.09251},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {e-print published at http://arxiv.org/abs/1512.09251},
keywords = {CI, constraints, MONREP, optimization},
pubstate = {published},
tppubtype = {techreport}
}
|
Bagheri, Samineh; Konen, Wolfgang; Foussette, Christophe; Krause, Peter; Bäck, Thomas; Koch, Patrick SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF Konferenzbeitrag Hoffmann, Frank ; Hüllermeier, Eyke (Hrsg.): Proceedings 25. Workshop Computational Intelligence, S. 87-98, Universitätsverlag Karlsruhe, 2015, (**Young Author Award**). Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization @inproceedings{Bagh15b,
title = {SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF},
author = { Samineh Bagheri and Wolfgang Konen and Christophe Foussette and Peter Krause and Thomas Bäck and Patrick Koch},
editor = {Hoffmann, Frank and Hüllermeier, Eyke},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Bagh15-GMA-CI.pdf},
year = {2015},
date = {2015-11-01},
booktitle = {Proceedings 25. Workshop Computational Intelligence},
pages = {87-98},
publisher = {Universitätsverlag Karlsruhe},
note = {**Young Author Award**},
keywords = {CI, constraints, MONREP, optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Konen, Wolfgang Reinforcement Learning for Board Games: The Temporal Difference Algorithm Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Sciences, 2015. Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning @techreport{Kone15c,
title = {Reinforcement Learning for Board Games: The Temporal Difference Algorithm},
author = { Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone15c.d/TR-TDgame_EN.pdf},
doi = {10.13140/RG.2.1.1965.2329},
year = {2015},
date = {2015-07-01},
address = {Cologne University of Applied Sciences},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {CI, Game Learning, learning, reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
|
Koch, Patrick; Bagheri, Samineh; Konen, Wolfgang; Foussette, Christophe; Krause, Peter; Bäck, Thomas A New Repair Method For Constrained Optimization Konferenzbeitrag Jiménez-Laredo, Juan Luis (Hrsg.): Proceedings of the 17th Genetic and Evolutionary Computation Conference (GECCO'15), 2015. Links | BibTeX | Schlagwörter: constraints, MONREP, optimization @inproceedings{Koch15a,
title = {A New Repair Method For Constrained Optimization},
author = { Patrick Koch and Samineh Bagheri and Wolfgang Konen and Christophe Foussette and Peter Krause and Thomas Bäck},
editor = {Jiménez-Laredo, Juan Luis},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Koch2015a-GECCO.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 17th Genetic and Evolutionary Computation Conference (GECCO'15)},
keywords = {constraints, MONREP, optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stork, Jörg; Ramos, Ricardo; Koch, Patrick; Konen, Wolfgang SVM ensembles are better when different kernel types are combined Buchkapitel mit eigenem Titel Lausen, Berthold ; Krolak-Schwerdt, Sabine (Hrsg.): Data Science, Learning by Latent Structures, and Knowledge Discovery, S. 191–201, Springer, 2015. Links | BibTeX | Schlagwörter: CI, ensemble, parameter tuning, SOMA, SVM, TDMR @incollection{stork15,
title = {SVM ensembles are better when different kernel types are combined},
author = { Jörg Stork and Ricardo Ramos and Patrick Koch and Wolfgang Konen},
editor = {Lausen, Berthold and Krolak-Schwerdt, Sabine},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/storkECDA-2013.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Data Science, Learning by Latent Structures, and Knowledge Discovery},
pages = {191--201},
publisher = {Springer},
keywords = {CI, ensemble, parameter tuning, SOMA, SVM, TDMR},
pubstate = {published},
tppubtype = {incollection}
}
|
Koch, Patrick; Wagner, Tobias; Emmerich, Michael T M; Bäck, Thomas; Konen, Wolfgang Efficient multi-criteria optimization on noisy machine learning problems Artikel Applied Soft Computing, 29 , S. 357-370, 2015. Links | BibTeX | Schlagwörter: CI, machine learning, optimization, parameter tuning, TDMR @article{Koch14,
title = {Efficient multi-criteria optimization on noisy machine learning problems},
author = { Patrick Koch and Tobias Wagner and Michael T. M. Emmerich and Thomas Bäck and Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Koch2015a-ASOC.pdf},
doi = {https://doi.org/10.1016/j.asoc.2015.01.005},
year = {2015},
date = {2015-00-01},
journal = {Applied Soft Computing},
volume = {29},
pages = {357-370},
keywords = {CI, machine learning, optimization, parameter tuning, TDMR},
pubstate = {published},
tppubtype = {article}
}
|
Konen, Wolfgang Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015, (Updated version 2015). Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning @techreport{Kone15a,
title = {Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus},
author = { Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone15a.d/TR-TDgame.pdf},
year = {2015},
date = {2015-00-01},
address = {Cologne University of Applied Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {Updated version 2015},
keywords = {CI, Game Learning, learning, reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
|
Konen, Wolfgang The rCMA Tutorial: Examples for using CMA-ES in R Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015. Links | BibTeX | Schlagwörter: CI, CMA, constraints, MONREP, optimization, rCMA @techreport{Kone15b,
title = {The rCMA Tutorial: Examples for using CMA-ES in R},
author = { Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone15b.d/rCMA-tutorial.pdf},
year = {2015},
date = {2015-00-01},
address = {Cologne University of Applied Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {CI, CMA, constraints, MONREP, optimization, rCMA},
pubstate = {published},
tppubtype = {techreport}
}
|
2014
|
Thill, Markus; Konen, Wolfgang Connect-4 Game Playing Framework (C4GPF) Sonstige 2014. Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning @misc{ThilKon14,
title = {Connect-4 Game Playing Framework (C4GPF)},
author = { Markus Thill and Wolfgang Konen},
url = {http://github.com/MarkusThill/Connect-Four},
year = {2014},
date = {2014-10-01},
keywords = {CI, Game Learning, learning, reinforcement learning},
pubstate = {published},
tppubtype = {misc}
}
|
Konen, Wolfgang; Koch, Patrick Adaptation in Nonlinear Learning Models for Nonstationary Tasks Konferenzbeitrag Bartz-Beielstein, T; Filipic, B (Hrsg.): PPSN'2014: 13th International Conference on Parallel Problem Solving From Nature, Ljubljana, S. 292–301, Springer, Heidelberg, 2014. Links | BibTeX | Schlagwörter: Game Learning, learning, reinforcement learning @inproceedings{Kone14a,
title = {Adaptation in Nonlinear Learning Models for Nonstationary Tasks},
author = { Wolfgang Konen and Patrick Koch},
editor = {Bartz-Beielstein, T. and Filipic, B.},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Kone14a-Adaptation.pdf},
year = {2014},
date = {2014-09-01},
booktitle = {PPSN'2014: 13th International Conference on Parallel Problem Solving From Nature, Ljubljana},
pages = {292--301},
publisher = {Springer},
address = {Heidelberg},
keywords = {Game Learning, learning, reinforcement learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Liebig, Kay N; Maslehaty, Homajoun; Petridis, Athanasios K; Konen, Wolfgang; Scholz, Martin Comparison of two algorithms for the application of real time image mosaicking in neuroendoscopy Artikel Journal of Neurosurgery, 121 (3), S. 688 – 699, 2014. Abstract | Links | BibTeX | Schlagwörter: BV-3D-Endo, computer vision, image mosaic, LogSearch, neuroendoscopy @article{Lieb14,
title = {Comparison of two algorithms for the application of real time image mosaicking in neuroendoscopy},
author = { Kay N. Liebig and Homajoun Maslehaty and Athanasios K. Petridis and Wolfgang Konen and Martin Scholz},
doi = {10.3171/2014.5.JNS121788},
year = {2014},
date = {2014-09-01},
journal = {Journal of Neurosurgery},
volume = {121},
number = {3},
pages = {688 -- 699},
abstract = {OBJECT:
Neuroendoscopy is used more and more frequently in neurosurgical procedures
and has become an important tool in the neurosurgical armamentarium.
However, the main restriction of neuroendoscopy is the limited field
of view. A better overview of the area of interest would increase
surgical safety and decrease procedure-related morbidity rates. In
the present study, the authors aimed to improve this restriction
by using and comparing two algorithms to create endoscopic panoramic
images, which increase the field of view during neuroendoscopic procedures.
METHODS:
Different endoscopic methods with or without a stand and with linear
or circular endoscope movements were performed in cadaveric ventricles.
Video of the endoscopy was used to create image mosaics of the lateral
ventricle with the help of the Kourogi or LogSearch (LS) algorithm.
In the LS algorithm, different template sizes were used. Three observers
graded the quality of the image mosaic in terms of usefulness in
surgery. The fastest frame rate was 3-4 frames/second.
RESULTS:
The LS algorithm with a larger template size showed significantly
better results for the creation of image mosaics than the Kourogi
algorithm in linear endoscopic movement with or without a stand.
In circular endoscopic movements, the results seemed to be better
with the LS algorithm but were not significantly different from those
obtained with the Kourogi algorithm. In summary, image quality in
the experimental paradigms was satisfying.
CONCLUSIONS:
Results in the study showed that the creation of image mosaics is
possible and reliable with the featured algorithms. Image mosaicking
is an applicable device for neuroendoscopy and can increase the field
of view during endoscopic procedures. Its use can increase the safety
and the field of application of neuroendoscopy. However, faster frame
rates will be required to create a smooth image for practical use
during surgery.},
keywords = {BV-3D-Endo, computer vision, image mosaic, LogSearch, neuroendoscopy},
pubstate = {published},
tppubtype = {article}
}
OBJECT:
Neuroendoscopy is used more and more frequently in neurosurgical procedures
and has become an important tool in the neurosurgical armamentarium.
However, the main restriction of neuroendoscopy is the limited field
of view. A better overview of the area of interest would increase
surgical safety and decrease procedure-related morbidity rates. In
the present study, the authors aimed to improve this restriction
by using and comparing two algorithms to create endoscopic panoramic
images, which increase the field of view during neuroendoscopic procedures.
METHODS:
Different endoscopic methods with or without a stand and with linear
or circular endoscope movements were performed in cadaveric ventricles.
Video of the endoscopy was used to create image mosaics of the lateral
ventricle with the help of the Kourogi or LogSearch (LS) algorithm.
In the LS algorithm, different template sizes were used. Three observers
graded the quality of the image mosaic in terms of usefulness in
surgery. The fastest frame rate was 3-4 frames/second.
RESULTS:
The LS algorithm with a larger template size showed significantly
better results for the creation of image mosaics than the Kourogi
algorithm in linear endoscopic movement with or without a stand.
In circular endoscopic movements, the results seemed to be better
with the LS algorithm but were not significantly different from those
obtained with the Kourogi algorithm. In summary, image quality in
the experimental paradigms was satisfying.
CONCLUSIONS:
Results in the study showed that the creation of image mosaics is
possible and reliable with the featured algorithms. Image mosaicking
is an applicable device for neuroendoscopy and can increase the field
of view during endoscopic procedures. Its use can increase the safety
and the field of application of neuroendoscopy. However, faster frame
rates will be required to create a smooth image for practical use
during surgery. |
Bagheri, Samineh; Thill, Markus; Koch, Patrick; Konen, Wolfgang Online Adaptable Learning Rates for the Game Connect-4 Forschungsbericht CIplus (TR 03/2014), 2014, (Preprint version of the article in IEEE Transactions on Computational Intelligence and AI in Games, 2016). Links | BibTeX | Schlagwörter: CI, Game Learning, learning, optimization, reinforcement learning @techreport{Bagh14a,
title = {Online Adaptable Learning Rates for the Game Connect-4},
author = { Samineh Bagheri and Markus Thill and Patrick Koch and Wolfgang Konen},
url = {http://nbn-resolving.de/urn:nbn:de:hbz:832-cos-704},
doi = {10.1109/TCIAIG.2014.2367105},
year = {2014},
date = {2014-01-01},
number = {TR 03/2014},
institution = {CIplus},
note = {Preprint version of the article in IEEE Transactions on Computational Intelligence and AI in Games, 2016},
keywords = {CI, Game Learning, learning, optimization, reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
|
Koch, Patrick; Bagheri, Samineh; Foussette, Christophe; Krause, Peter; Bäck, Thomas; Konen, Wolfgang Constrained Optimization with a Limited Number of Function Evaluations Konferenzbeitrag Hoffmann, Frank ; Hüllermeier, Eyke (Hrsg.): Proceedings 24. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2014, (**Young Author Award**). Links | BibTeX | Schlagwörter: constraints, MONREP, optimization @inproceedings{Koch14a,
title = {Constrained Optimization with a Limited Number of Function Evaluations},
author = { Patrick Koch and Samineh Bagheri and Christophe Foussette and Peter Krause and Thomas Bäck and Wolfgang Konen},
editor = {Hoffmann, Frank and Hüllermeier, Eyke},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Koch2014a-GMA-CI.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings 24. Workshop Computational Intelligence},
pages = {119--134},
publisher = {Universitätsverlag Karlsruhe},
note = {**Young Author Award**},
keywords = {constraints, MONREP, optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Thill, Markus; Bagheri, Samineh; Koch, Patrick; Konen, Wolfgang Temporal Difference Learning with Eligibility Traces for the Game Connect-4 Konferenzbeitrag Preuss, Mike ; Rudolph, Günther (Hrsg.): CIG'2014, International Conference on Computational Intelligence in Games, Dortmund, S. 84 – 91, 2014. Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning @inproceedings{Thil14,
title = {Temporal Difference Learning with Eligibility Traces for the Game Connect-4},
author = { Markus Thill and Samineh Bagheri and Patrick Koch and Wolfgang Konen},
editor = {Preuss, Mike and Rudolph, Günther},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/ThillCIG2014.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {CIG'2014, International Conference on Computational Intelligence in Games, Dortmund},
pages = {84 -- 91},
keywords = {CI, Game Learning, learning, reinforcement learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2013
|
Faeskorn-Woyke, Heide; Konen, Wolfgang; Stahl, Hans Ludwig Zukunft der Informatik Buchkapitel mit eigenem Titel Becker, Klaus ; others, (Hrsg.): Die Wissenschaft von der Praxis denken - Festschrift für Joachim Metzner zum 70. Geburtstag, S. 238 – 250, Verlag H. Schmidt, Mainz, 2013. Links | BibTeX | Schlagwörter: computer science @incollection{Faes13,
title = {Zukunft der Informatik},
author = { Heide Faeskorn-Woyke and Wolfgang Konen and Hans Ludwig Stahl},
editor = {Becker, Klaus and others},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Festschrift-Metzner2013.pdf},
year = {2013},
date = {2013-01-01},
booktitle = {Die Wissenschaft von der Praxis denken - Festschrift für Joachim Metzner zum 70. Geburtstag},
pages = {238 -- 250},
publisher = {Verlag H. Schmidt, Mainz},
keywords = {computer science},
pubstate = {published},
tppubtype = {incollection}
}
|
Koch, Patrick; Konen, Wolfgang Subsampling strategies in SVM ensembles Konferenzbeitrag Hoffmann, Frank ; Hüllermeier, Eyke (Hrsg.): Proceedings 23. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2013. Links | BibTeX | Schlagwörter: ensemble, parameter tuning, SOMA, SVM, TDMR @inproceedings{Koch13a,
title = {Subsampling strategies in SVM ensembles},
author = { Patrick Koch and Wolfgang Konen},
editor = {Hoffmann, Frank and Hüllermeier, Eyke},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/kochGMA2013.pdf},
year = {2013},
date = {2013-01-01},
booktitle = {Proceedings 23. Workshop Computational Intelligence},
pages = {119--134},
publisher = {Universitätsverlag Karlsruhe},
keywords = {ensemble, parameter tuning, SOMA, SVM, TDMR},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stork, Jörg; Ramos, Ricardo; Koch, Patrick; Konen, Wolfgang SVM ensembles are better when different kernel types are combined Konferenzbeitrag Lausen, Berthold (Hrsg.): European Conference on Data Analysis (ECDA13), GfKl, 2013. Links | BibTeX | Schlagwörter: ensemble, parameter tuning, SOMA, SVM, TDMR @inproceedings{stork13a,
title = {SVM ensembles are better when different kernel types are combined},
author = { Jörg Stork and Ricardo Ramos and Patrick Koch and Wolfgang Konen},
editor = {Lausen, Berthold},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/storkECDA-2013.pdf},
year = {2013},
date = {2013-01-01},
booktitle = {European Conference on Data Analysis (ECDA13)},
publisher = {GfKl},
keywords = {ensemble, parameter tuning, SOMA, SVM, TDMR},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2012
|
Konen, Wolfgang; Koch, Patrick The TDMR Package: Tuned Data Mining in R Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (02/2012), 2012, (Last update: June 2017). Links | BibTeX | Schlagwörter: parameter tuning, SOMA, TDMR @techreport{Kone12ab,
title = {The TDMR Package: Tuned Data Mining in R},
author = {Wolfgang Konen and Patrick Koch},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone12a.d/Kone12a-V2017-07.pdf},
year = {2012},
date = {2012-11-01},
number = {02/2012},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {Last update: June 2017},
keywords = {parameter tuning, SOMA, TDMR},
pubstate = {published},
tppubtype = {techreport}
}
|
Konen, Wolfgang; Koch, Patrick The TDMR Tutorial: Examples for Tuned Data Mining in R Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (03/2012), 2012, (Last update: May, 2016). Links | BibTeX | Schlagwörter: parameter tuning, SOMA, TDMR @techreport{Kone12bb,
title = {The TDMR Tutorial: Examples for Tuned Data Mining in R},
author = {Wolfgang Konen and Patrick Koch},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone12b.d/Kone12b-V2016-05.pdf},
year = {2012},
date = {2012-11-01},
number = {03/2012},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {Last update: May, 2016},
keywords = {parameter tuning, SOMA, TDMR},
pubstate = {published},
tppubtype = {techreport}
}
|
Koch, Patrick; Konen, Wolfgang Efficient sampling and handling of variance in tuning data mining models Konferenzbeitrag Coello Coello, Carlos ; Cutello, Vincenzo ; others, (Hrsg.): PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina, S. 195–205, Springer, Heidelberg, 2012. Links | BibTeX | Schlagwörter: parameter tuning, SOMA, TDMR @inproceedings{Koch12a,
title = {Efficient sampling and handling of variance in tuning data mining models},
author = { Patrick Koch and Wolfgang Konen},
editor = {Coello Coello, Carlos and Cutello, Vincenzo and others},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Koch12a.d/Koch12a.pdf},
year = {2012},
date = {2012-09-01},
booktitle = {PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina},
pages = {195--205},
publisher = {Springer},
address = {Heidelberg},
keywords = {parameter tuning, SOMA, TDMR},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Thill, Markus; Koch, Patrick; Konen, Wolfgang Reinforcement learning with n-tuples on the game Connect-4 Konferenzbeitrag Coello Coello, Carlos ; Cutello, Vincenzo ; others, (Hrsg.): PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina, S. 184–194, Springer, Heidelberg, 2012. Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning, SOMA @inproceedings{Thil12,
title = {Reinforcement learning with n-tuples on the game Connect-4},
author = { Markus Thill and Patrick Koch and Wolfgang Konen},
editor = {Coello Coello, Carlos and Cutello, Vincenzo and others},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Thi12.d/Thil12.pdf},
year = {2012},
date = {2012-09-01},
booktitle = {PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina},
pages = {184--194},
publisher = {Springer},
address = {Heidelberg},
keywords = {CI, Game Learning, learning, reinforcement learning, SOMA},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Koch, Patrick; Bischl, Bernd; Flasch, Oliver; Bartz-Beielstein, Thomas; Weihs, Claus; Konen, Wolfgang Tuning and Evolution of Support Vector Kernels Artikel Evolutionary Intelligence, 5 , S. 153–170, 2012. Links | BibTeX | Schlagwörter: CI, parameter tuning, SOMA, TDMR @article{Koch11aa,
title = {Tuning and Evolution of Support Vector Kernels},
author = { Patrick Koch and Bernd Bischl and Oliver Flasch and Thomas Bartz-Beielstein and Claus Weihs and Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Koch11a-EvolIntel.pdf},
year = {2012},
date = {2012-01-01},
journal = {Evolutionary Intelligence},
volume = {5},
pages = {153--170},
keywords = {CI, parameter tuning, SOMA, TDMR},
pubstate = {published},
tppubtype = {article}
}
|
2011
|
Konen, Wolfgang Der SFA-Algorithmus für Klassifikation Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (08/11), 2011, ISSN: 2191-365X. Links | BibTeX | Schlagwörter: classification, machine learning, SFA, SOMA @techreport{Kone11e,
title = {Der SFA-Algorithmus für Klassifikation},
author = { Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Konen11e.d/Konen11e.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-11-01},
number = {08/11},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {classification, machine learning, SFA, SOMA},
pubstate = {published},
tppubtype = {techreport}
}
|
