155 entries « 1 of 8 »
1. Konen, Wolfgang: General Board Game Playing for Education and Research in Generic AI Game Learning. In: Perez, Diego; Mostaghim, Sanaz; Lucas, Simon (Ed.): IEEE Conference on Games, London, 2019. (Type: Inproceedings | Links | BibTeX)
2. Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas: SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning. arXiv preprint arXiv:1904.08397 2019. (Type: Technical Report | Links | BibTeX)
3. Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas: Solving Optimization Problems with High Conditioning by Means of Online Whitening. In: Lopez-Ibanez, Manuel (Ed.): Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague, pp. 243-244, ACM, 2019. (Type: Inproceedings | Links | BibTeX)
4. Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas: How to Solve the Dilemma of Margin-Based Equality Constraint Handling Methods. In: at-Automatisierungstechnik, submitted , 2019. (Type: Journal Article | BibTeX)
5. Buhl, Henning; Konen, Wolfgang; Thill, Markus: Deep Learning mit Keras und Tensorflow. Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019), 2019. (Type: Miscellaneous | Links | BibTeX)
6. Konen, Wolfgang: The GBG Class Interface Tutorial V2.0: General Board Game Playing and Learning. Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2019. (Type: Technical Report | Links | BibTeX)
7. Barsnick, Felix: Implementierung und Untersuchung eines Turniersystems für KI-Agenten in Brettspielen. TH Köln -- University of Applied Sciences, 2019, (Master thesis). (Type: Masters Thesis | Links | BibTeX)
8. Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas: How to Solve the Dilemma of Margin-Based Equality Handling Methods. In: Hoffmann, Frank; Hüllermeier, Eyke; Mikut, Ralf (Ed.): Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018, pp. 257-270, KIT Scientific Publishing, Karlsruhe, 2018, ISBN: 978-3-7315-0845-8, (**Young Author Award**). (Type: Inproceedings | Links | BibTeX)
9. Thill, Markus; Konen, Wolfgang; Bäck, Thomas: Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions. 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). (Type: Technical Report | Links | BibTeX)
10. Konen, Wolfgang; Koch, Patrick: The TDMR 2.0 Package: Tuned Data Mining in R. 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)). (Type: Technical Report | Links | BibTeX)
11. Konen, Wolfgang; Koch, Patrick: The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R. 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)). (Type: Technical Report | Links | BibTeX)
12. Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas: Comparing Kriging and Radial Basis Function Surrogates. In: Hoffmann, Frank; Hüllermeier, Eyke (Ed.): Proceedings 27. Workshop Computational Intelligence, pp. 243-259, Universitätsverlag Karlsruhe, 2017. (Type: Inproceedings | Links | BibTeX)
13. Thill, Markus; Konen, Wolfgang; Bäck, Thomas: Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation. In: Hoffmann, Frank; Hüllermeier, Eyke (Ed.): Proceedings 27. Workshop Computational Intelligence, pp. 67-71, Universitätsverlag Karlsruhe, 2017. (Type: Inproceedings | Links | BibTeX)
14. Kutsch, Johannes: KI-Agenten fur das Spiel 2048: Untersuchung von Lernalgorithmen für nichtdeterministische Spiele. TH Köln -- University of Applied Sciences, 2017, (Bachelor thesis). (Type: Masters Thesis | Links | BibTeX)
15. Galitzki, Kevin: Selbstlernende Agenten für das skalierbare Spiel Hex: Untersuchung verschiedener KI-Verfahren im GBG-Framework. TH Köln -- University of Applied Sciences, 2017, (Bachelor thesis). (Type: Masters Thesis | Links | BibTeX)
16. Thill, Markus; Konen, Wolfgang; Bäck, Thomas: Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation. In: Valenzuela, Olga; Rojas, Ignacio; others, (Ed.): International Work-Conference on Time Series (ITISE2017), 2017. (Type: Inproceedings | Links | BibTeX)
17. Bagheri, Samineh; Konen, Wolfgang; Allmendinger, Richard; Branke, Jürgen; Deb, Kalyanmoy; Fieldsend, Jonathan; Quagliarella, Domenico; Sindhya, Karthik: Constraint Handling in Efficient Global Optimization. In: Bosman, Peter A N (Ed.): Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin, pp. 1, ACM, 2017. (Type: Inproceedings | Links | BibTeX)
18. Konen, Wolfgang : The GBG Class Interface Tutorial: General Board Game Playing and Learning. 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). (Type: Technical Report | Links | BibTeX)
19. Oxe, Julia : Identifizierung von Anomalien in Zeitreihen mit Deep Autoencodern. TH Köln -- University of Applied Sciences, 2017, (Bachelor thesis). (Type: Masters Thesis | Links | BibTeX)
20. Bagheri, Samineh; Konen, Wolfgang; Emmerich, Michael; Bäck, Thomas: Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets. In: Applied Soft Computing, 61 , pp. 377-393, 2017, ISSN: 1568-4946. (Type: Journal Article | Links | BibTeX)
155 entries « 1 of 8 »

 


 

141 entries « 1 of 3 »

2019

Konen, Wolfgang

General Board Game Playing for Education and Research in Generic AI Game Learning Inproceedings

Perez, Diego; Mostaghim, Sanaz; Lucas, Simon (Ed.): IEEE Conference on Games, London, 2019.

Links | BibTeX | Tags: 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 Technical Report

arXiv preprint arXiv:1904.08397 2019.

Links | BibTeX | Tags: optimization, SACOBRA, surrogate models

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

Solving Optimization Problems with High Conditioning by Means of Online Whitening Inproceedings

Lopez-Ibanez, Manuel (Ed.): Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague, pp. 243-244, ACM, 2019.

Links | BibTeX | Tags: 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 Journal Article

at-Automatisierungstechnik, submitted , 2019.

BibTeX | Tags: optimization, SACOBRA, surrogate models

Buhl, Henning; Konen, Wolfgang; Thill, Markus

Deep Learning mit Keras und Tensorflow Miscellaneous

Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019), 2019.

Links | BibTeX | Tags: deep learning

Konen, Wolfgang

The GBG Class Interface Tutorial V2.0: General Board Game Playing and Learning Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2019.

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

2018

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

How to Solve the Dilemma of Margin-Based Equality Handling Methods Inproceedings

Hoffmann, Frank; Hüllermeier, Eyke; Mikut, Ralf (Ed.): Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018, pp. 257-270, KIT Scientific Publishing, Karlsruhe, 2018, ISBN: 978-3-7315-0845-8, (**Young Author Award**).

Links | BibTeX | Tags: 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 Technical Report

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 | Tags: anomaly detection, DWT, maximum likelihood estimation, time series, wavelet transform

Konen, Wolfgang; Koch, Patrick

The TDMR 2.0 Package: Tuned Data Mining in R Technical Report

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 | Tags: parameter tuning, SOMA, TDMR

Konen, Wolfgang; Koch, Patrick

The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R Technical Report

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 | Tags: parameter tuning, SOMA, TDMR

2017

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

Comparing Kriging and Radial Basis Function Surrogates Inproceedings

Hoffmann, Frank; Hüllermeier, Eyke (Ed.): Proceedings 27. Workshop Computational Intelligence, pp. 243-259, Universitätsverlag Karlsruhe, 2017.

Links | BibTeX | Tags: 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 Inproceedings

Hoffmann, Frank; Hüllermeier, Eyke (Ed.): Proceedings 27. Workshop Computational Intelligence, pp. 67-71, Universitätsverlag Karlsruhe, 2017.

Links | BibTeX | Tags: 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 Inproceedings

Bosman, Peter A N (Ed.): Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin, pp. 1, ACM, 2017.

Links | BibTeX | Tags: 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 Inproceedings

Valenzuela, Olga; Rojas, Ignacio; others, (Ed.): International Work-Conference on Time Series (ITISE2017), 2017.

Links | BibTeX | Tags: anomaly detection, DWT, time series

Konen, Wolfgang

The GBG Class Interface Tutorial: General Board Game Playing and Learning Technical Report

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 | Tags: 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 Journal Article

Applied Soft Computing, 61 , pp. 377-393, 2017, ISSN: 1568-4946.

Links | BibTeX | Tags: CI, constraints, MONREP, optimization, surrogate models

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Online anomaly detection on the Webscope S5 dataset: A comparative study Inproceedings

IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017), pp. 1, Springer 2017.

Links | BibTeX | Tags: anomaly detection, time series

2016

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

Online Selection of Surrogate Models for Constrained Black-Box Optimization Inproceedings

Jin, Yaochu (Ed.): SSCI'2016, Athens, pp. 1, IEEE, 2016, (**Best Student Paper Award**).

Links | BibTeX | Tags: CI, constraints, ensemble, MONREP, optimization

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

Equality Constraint Handling for Surrogate-Assisted Constrained Optimization Inproceedings

Tan, Kay Chen (Ed.): WCCI'2016, Vancouver, pp. 1924–1931, IEEE, 2016.

Links | BibTeX | Tags: CI, constraints, MONREP, optimization

Konen, Wolfgang

Illumination-invariant image mosaic calculation based on logarithmic search Technical Report

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 | Tags: 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 Journal Article

IEEE Transactions on Computational Intelligence and AI in Games, 8 (1), pp. 33-42, 2016, (accepted 11/2014).

Links | BibTeX | Tags: 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 Technical Report

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 | Tags: 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 Inproceedings

Hoffmann, Frank ; Hüllermeier, Eyke (Ed.): Proceedings 25. Workshop Computational Intelligence, pp. 87-98, Universitätsverlag Karlsruhe, 2015, (**Young Author Award**).

Links | BibTeX | Tags: CI, constraints, MONREP, optimization

Konen, Wolfgang

Reinforcement Learning for Board Games: The Temporal Difference Algorithm Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Sciences, 2015.

Links | BibTeX | Tags: 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 Inproceedings

Jiménez-Laredo, Juan Luis (Ed.): Proceedings of the 17th Genetic and Evolutionary Computation Conference (GECCO'15), 2015.

Links | BibTeX | Tags: constraints, MONREP, optimization

Stork, Jörg; Ramos, Ricardo; Koch, Patrick; Konen, Wolfgang

SVM ensembles are better when different kernel types are combined Incollection

Lausen, Berthold ; Krolak-Schwerdt, Sabine (Ed.): Data Science, Learning by Latent Structures, and Knowledge Discovery, pp. 191–201, Springer, 2015.

Links | BibTeX | Tags: 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 Journal Article

Applied Soft Computing, 29 , pp. 357-370, 2015.

Links | BibTeX | Tags: CI, machine learning, optimization, parameter tuning, TDMR

Konen, Wolfgang

Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015, (Updated version 2015).

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

Konen, Wolfgang

The rCMA Tutorial: Examples for using CMA-ES in R Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015.

Links | BibTeX | Tags: CI, CMA, constraints, MONREP, optimization, rCMA

2014

Thill, Markus; Konen, Wolfgang

Connect-4 Game Playing Framework (C4GPF) Miscellaneous

2014.

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

Konen, Wolfgang; Koch, Patrick

Adaptation in Nonlinear Learning Models for Nonstationary Tasks Inproceedings

Bartz-Beielstein, T; Filipic, B (Ed.): PPSN'2014: 13th International Conference on Parallel Problem Solving From Nature, Ljubljana, pp. 292–301, Springer, Heidelberg, 2014.

Links | BibTeX | Tags: 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 Journal Article

Journal of Neurosurgery, 121 (3), pp. 688 – 699, 2014.

Abstract | Links | BibTeX | Tags: 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 Technical Report

CIplus (TR 03/2014), 2014, (Preprint version of the article in IEEE Transactions on Computational Intelligence and AI in Games, 2016).

Links | BibTeX | Tags: 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 Inproceedings

Hoffmann, Frank ; Hüllermeier, Eyke (Ed.): Proceedings 24. Workshop Computational Intelligence, pp. 119–134, Universitätsverlag Karlsruhe, 2014, (**Young Author Award**).

Links | BibTeX | Tags: constraints, MONREP, optimization

Thill, Markus; Bagheri, Samineh; Koch, Patrick; Konen, Wolfgang

Temporal Difference Learning with Eligibility Traces for the Game Connect-4 Inproceedings

Preuss, Mike ; Rudolph, Günther (Ed.): CIG'2014, International Conference on Computational Intelligence in Games, Dortmund, pp. 84 – 91, 2014.

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

2013

Faeskorn-Woyke, Heide; Konen, Wolfgang; Stahl, Hans Ludwig

Zukunft der Informatik Incollection

Becker, Klaus ; others, (Ed.): Die Wissenschaft von der Praxis denken - Festschrift für Joachim Metzner zum 70. Geburtstag, pp. 238 – 250, Verlag H. Schmidt, Mainz, 2013.

Links | BibTeX | Tags: computer science

Koch, Patrick; Konen, Wolfgang

Subsampling strategies in SVM ensembles Inproceedings

Hoffmann, Frank ; Hüllermeier, Eyke (Ed.): Proceedings 23. Workshop Computational Intelligence, pp. 119–134, Universitätsverlag Karlsruhe, 2013.

Links | BibTeX | Tags: ensemble, parameter tuning, SOMA, SVM, TDMR

Stork, Jörg; Ramos, Ricardo; Koch, Patrick; Konen, Wolfgang

SVM ensembles are better when different kernel types are combined Inproceedings

Lausen, Berthold (Ed.): European Conference on Data Analysis (ECDA13), GfKl, 2013.

Links | BibTeX | Tags: ensemble, parameter tuning, SOMA, SVM, TDMR

2012

Konen, Wolfgang; Koch, Patrick

The TDMR Package: Tuned Data Mining in R Technical Report

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 | Tags: parameter tuning, SOMA, TDMR

Konen, Wolfgang; Koch, Patrick

The TDMR Tutorial: Examples for Tuned Data Mining in R Technical Report

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 | Tags: parameter tuning, SOMA, TDMR

Koch, Patrick; Konen, Wolfgang

Efficient sampling and handling of variance in tuning data mining models Inproceedings

Coello Coello, Carlos ; Cutello, Vincenzo ; others, (Ed.): PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina, pp. 195–205, Springer, Heidelberg, 2012.

Links | BibTeX | Tags: parameter tuning, SOMA, TDMR

Thill, Markus; Koch, Patrick; Konen, Wolfgang

Reinforcement learning with n-tuples on the game Connect-4 Inproceedings

Coello Coello, Carlos ; Cutello, Vincenzo ; others, (Ed.): PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina, pp. 184–194, Springer, Heidelberg, 2012.

Links | BibTeX | Tags: 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 Journal Article

Evolutionary Intelligence, 5 , pp. 153–170, 2012.

Links | BibTeX | Tags: CI, parameter tuning, SOMA, TDMR

2011

Konen, Wolfgang

Der SFA-Algorithmus für Klassifikation Technical Report

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 | Tags: classification, machine learning, SFA, SOMA

Konen, Wolfgang

SFA classification with few training data: Improvements with parametric bootstrap Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (09/11), 2011, ISSN: 2191-365X.

Links | BibTeX | Tags: classification, SFA, SOMA

Bartz-Beielstein, Thomas; Friese, Martina; Flasch, Oliver; Konen, Wolfgang; Koch, Patrick; Naujoks, Boris

Ensemble-Based Modeling Technical Report

Research Center CIOP (Computational Intelligence, Optimization andData Mining) Cologne University of Applied Science, Faculty of Computer Scienceand Engineering Science, (06/11), 2011, ISSN: 2191-365X.

Links | BibTeX | Tags: CI, ensemble, optimization

Konen, Wolfgang

Self-configuration from a Machine-Learning Perspective Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (05/11; arXiv: 1105.1951), 2011, ISSN: 2191-365X, (e-print published at http://arxiv.org/abs/1105.1951 and Dagstuhl Preprint Archive, Workshop 11181 "Organic Computing -- Design of Self-Organizing Systems").

Links | BibTeX | Tags: CI, Game Learning, learning, parameter tuning, reinforcement learning, TDMR

Koch, Patrick; Bischl, Bernd; Flasch, Oliver; Bartz-Beielstein, Thomas; Konen, Wolfgang

On the Tuning and Evolution of Support Vector Kernels Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Scienceand Engineering Science, (04/11), 2011, ISSN: 2191-365X.

Links | BibTeX | Tags: CI, optimization, parameter tuning, SOMA, SVM, TDMR

Konen, Wolfgang; Koch, Patrick; Flasch, Oliver; Bartz-Beielstein, Thomas; Friese, Martina; Naujoks, Boris

Tuned Data Mining: A Benchmark Study on Different Tuners Technical Report

Cologne University of Applied Sciences (03/11), 2011.

Links | BibTeX | Tags: parameter tuning, SOMA, TDMR

Bartz-Beielstein, Thomas; Friese, Martina; Zaefferer, Martin; Naujoks, Boris; Flasch, Oliver; Konen, Wolfgang; Koch, Patrick

Noisy optimization with sequential parameter optimization and optimal computational budget allocation Inproceedings

Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pp. 119–120, ACM, Dublin, Ireland, 2011, ISBN: 978-1-4503-0690-4.

Links | BibTeX | Tags: CI, optimization, parameter tuning

141 entries « 1 of 3 »