Suchfeld

148 Einträge « 1 von 3 »

2020

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

Konen, Wolfgang

The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining), Oct 2020.

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

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

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

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

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

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

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

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

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

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

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:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

2014

Thill, Markus; Konen, Wolfgang

Connect-4 Game Playing Framework (C4GPF) Sonstige

2014.

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning

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

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

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

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

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

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

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

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

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

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

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

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

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

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

148 Einträge « 1 von 3 »

 


Suchfeld

165 Einträge « 1 von 17 »
1. Konen, Wolfgang; Bagheri, Samineh: Reinforcement Learning for N-Player Games: The Importance of Final Adaptation. In: Vasile, Massimiliano; Filipic, Bogdan (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), Bruxelles, 2020. (Typ: Konferenzbeitrag | Links | BibTeX)
2. Bagheri, Samineh: Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems. Leiden University and TH Köln, 2020, (PhD thesis). (Typ: Promotionsarbeit | BibTeX)
3. Konen, Wolfgang: The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning. Research Center CIOP (Computational Intelligence, Optimization and Data Mining), Oct 2020. (Typ: Forschungsbericht | Links | BibTeX)
4. Konen, Wolfgang; Bagheri, Samineh: Final Adaptation Reinforcement Learning for N-Player Games. Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020. (Typ: Forschungsbericht | Links | BibTeX)
5. Konen, Wolfgang: Die CO2-Kosten des Video-Streaming. In: Die Neue Hochschule (dnh), 3 , S. 18-19, 2020. (Typ: Artikel | Links | BibTeX)
6. Thill, Markus; Konen, Wolfgang; Bäck, Thomas: Time Series Encodings with Temporal Convolutional Networks. In: Vasile, Massimiliano; Filipic, Bogdan (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), 2020. (Typ: Konferenzbeitrag | Links | BibTeX)
7. Konen, Wolfgang: General Board Game Playing for Education and Research in Generic AI Game Learning. In: Perez, Diego; Mostaghim, Sanaz; Lucas, Simon (Hrsg.): IEEE Conference on Games, London, 2019. (Typ: Konferenzbeitrag | Links | BibTeX)
8. Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas: SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning. arXiv preprint arXiv:1904.08397 2019. (Typ: Forschungsbericht | Links | BibTeX)
9. Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas: Solving Optimization Problems with High Conditioning by Means of Online Whitening. In: Lopez-Ibanez, Manuel (Hrsg.): Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague, S. 243-244, ACM, 2019. (Typ: Konferenzbeitrag | Links | BibTeX)
10. Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas: How to Solve the Dilemma of Margin-Based Equality Constraint Handling Methods. In: at-Automatisierungstechnik, submitted , 2019. (Typ: Artikel | BibTeX)
165 Einträge « 1 von 17 »