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238 Einträge « 1 von 5 »

2020

Bagheri, Samineh

Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems Promotionsarbeit

Leiden University and TH Köln, 2020, (PhD thesis).

BibTeX | Schlagwörter: BT-MT, machine learning, MONREP, optimization, RBF, SACOBRA, surrogate models

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, GBG, 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) 2020.

Links | BibTeX | Schlagwörter: CI, Game Learning, GBG, 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 Inproceedings

Vasile, Bogdan Filipic Massimiliano (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), 2020.

Links | BibTeX | Schlagwörter: anomaly detection, deep learning, TCN, time series

Scheiermann, Johannes

Sind (trainierte) General-Purpose-RL-Agenten im Brettspiel Othello stärker als (untrainierte) General-Game-Playing Agenten? Forschungsbericht

TH Köln, Institut für Informatik 2020, (Praxisprojekt).

Links | BibTeX | Schlagwörter: AI, BT-MT, Game Learning, GBG, machine learning, Reinforcement learning

Scheiermann, Johannes

AlphaZero-inspirierte KI-Agenten im General Board Game Playing Abschlussarbeit

TH Köln -- University of Applied Sciences, 2020, (Bachelor thesis).

Links | BibTeX | Schlagwörter: AI, BT-MT, Game Learning, GBG, machine learning, Reinforcement learning

Konen, Wolfgang; Bagheri, Samineh

Reinforcement Learning for N-Player Games: The Importance of Final Adaptation Inproceedings

Vasile, Bogdan Filipic Massimiliano (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), Bruxelles, 2020.

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

2019

Cöln, Julian; Dittmar, Yannick

Untersuchung von KI Agenten im Spiel Othello Forschungsbericht

TH Köln, Institut für Informatik 2019.

Links | BibTeX | Schlagwörter: AI, BT-MT, Game Learning, GBG, machine learning, Reinforcement learning

Konen, Wolfgang

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

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

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

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

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

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

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

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

Barsnick, Felix

Implementierung und Untersuchung eines Turniersystems für KI-Agenten in Brettspielen Abschlussarbeit

TH Köln -- University of Applied Sciences, 2019, (Master thesis).

Links | BibTeX | Schlagwörter: BT-MT, Elo, Game Learning, GBG, Glicko, machine learning, Reinforcement learning

Thill, Markus; Däubner, Sina; Konen, Wolfgang; Bäck, Thomas

Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks Inproceedings

á, Petra Barancíkov; Holena, Martin; others, (Hrsg.): Proc. 19th Conference Information Technologies - Applications and Theory (ITAT 2019), 2019, (Best Paper Award).

Links | BibTeX | Schlagwörter: anomaly detection, deep learning, LSTM, time series

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 (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 Inproceedings

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

Links | BibTeX | Schlagwörter: CI, constraints, Kriging, MONREP, optimization, SACOBRA, 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 (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 Inproceedings

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, SACOBRA, 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, (Hrsg.): International Work-Conference on Time Series (ITISE2017), 2017.

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

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, SACOBRA, surrogate models

Galitzki, Kevin

Selbstlernende Agenten für das skalierbare Spiel Hex: Untersuchung verschiedener KI-Verfahren im GBG-Framework Abschlussarbeit

TH Köln -- University of Applied Sciences, 2017, (Bachelor thesis).

Links | BibTeX | Schlagwörter: BT-MT, CI, Game Learning, GBG, learning, optimization, Reinforcement learning

Kutsch, Johannes

KI-Agenten fur das Spiel 2048: Untersuchung von Lernalgorithmen für nichtdeterministische Spiele Abschlussarbeit

TH Köln -- University of Applied Sciences, 2017, (Bachelor thesis).

Links | BibTeX | Schlagwörter: BT-MT, CI, Game Learning, GBG, learning, optimization, Reinforcement learning

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), 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 Inproceedings

Jin, Yaochu (Hrsg.): SSCI'2016, Athens, S. 1, IEEE, 2016, (Best Student Paper Award).

Links | BibTeX | Schlagwörter: CI, constraints, ensemble, MONREP, optimization, SACOBRA

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

Equality Constraint Handling for Surrogate-Assisted Constrained Optimization Inproceedings

Tan, Kay Chen (Hrsg.): WCCI'2016, Vancouver, S. 1, IEEE, 2016.

Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization, SACOBRA

2015

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 (Hrsg.): Proceedings 25. Workshop Computational Intelligence, S. 87-98, Universitätsverlag Karlsruhe, 2015, (Young Author Award GMA-CI).

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: Game Learning, learning, Reinforcement learning

Koch, Patrick; Wagner, Tobias; Emmerich, Michael; 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: machine learning, TDMR

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, (accepted 11/2014) , S. 1, 2015.

Links | BibTeX | Schlagwörter: 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 (Hrsg.): Proceedings of the 17th Genetic and Evolutionary Computation Conference, 2015, (accepted).

BibTeX | Schlagwörter: constraint, MONREP, optimization

Konen, Wolfgang

Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Forschungsbericht

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

Links | BibTeX | Schlagwörter: 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: constraint, MONREP, optimization, rCMA

2014

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, 2015).

Links | BibTeX | Schlagwörter: Game Learning, learning, 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 (Hrsg.): Proceedings 24. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2014, (Young Author Award GMA-CI).

Links | BibTeX | Schlagwörter: MONREP, optimization

Konen, Wolfgang; Koch, Patrick

Adaptation in Nonlinear Learning Models for Nonstationary Tasks Inproceedings

Filipic, Bogdan (Hrsg.): PPSN'2014: 13th International Conference on Parallel Problem Solving From Nature, Ljubljana, 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 | BibTeX | Schlagwörter: BV-3D-Endo, computer vision, image mosaic, LogSearch algorithm, neuroendoscopy

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

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

Preuss, Mike; Rudolph, Günther (Hrsg.): CIG'2014, International Conference on Computational Intelligence in Games, Dortmund, 2014.

Links | BibTeX | Schlagwörter: Game Learning, learning, Reinforcement learning

Thill, Markus; Konen, Wolfgang

Connect-4 Game Playing Framework (C4GPF) Sonstige

2014.

Links | BibTeX | Schlagwörter: Game Learning, learning, Reinforcement learning

2013

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

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:

Koch, Patrick; Konen, Wolfgang

Subsampling strategies in SVM ensembles Inproceedings

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

Links | BibTeX | Schlagwörter: SOMA, TDMR

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

SVM ensembles are better when different kernel types are combined Inproceedings

Lausen, Berthold (Hrsg.): European Conference on Data Analysis (ECDA13), (under review), 2013.

Links | BibTeX | Schlagwörter: SOMA, TDMR

Guerra, Ricardo Ramos; Stork, Jörg

Building and analyzing SVM ensembles with Bagging and AdaBoost on big data sets Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Sciences, (1/13), 2013.

Links | BibTeX | Schlagwörter: SVM

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

Flasch, Oliver; Bartz-Beielstein, Thomas

A Framework for the Empirical Analysis of Genetic Programming System Performance Buchkapitel mit eigenem Titel

Riolo, Rick; Vladislavleva, Ekaterina; Moore, Jason H (Hrsg.): Genetic Programming Theory and Practice X, S. TBA, Springer, Ann Arbor, USA, 2012.

BibTeX | Schlagwörter:

238 Einträge « 1 von 5 »

 


Search Field

238 Einträge « 1 von 24 »
1. 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)
2. 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)
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) 2020. (Typ: Forschungsbericht | Links | BibTeX)
4. Konen, Wolfgang: Die CO2-Kosten des Video-Streaming. In: Die Neue Hochschule (dnh), 3 , S. 18-19, 2020. (Typ: Artikel | Links | BibTeX)
5. Thill, Markus; Konen, Wolfgang; Bäck, Thomas: Time Series Encodings with Temporal Convolutional Networks. In: Vasile, Bogdan Filipic Massimiliano (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), 2020. (Typ: Inproceedings | Links | BibTeX)
6. Scheiermann, Johannes: Sind (trainierte) General-Purpose-RL-Agenten im Brettspiel Othello stärker als (untrainierte) General-Game-Playing Agenten?. TH Köln, Institut für Informatik 2020, (Praxisprojekt). (Typ: Forschungsbericht | Links | BibTeX)
7. Scheiermann, Johannes: AlphaZero-inspirierte KI-Agenten im General Board Game Playing. TH Köln -- University of Applied Sciences, 2020, (Bachelor thesis). (Typ: Abschlussarbeit | Links | BibTeX)
8. Konen, Wolfgang; Bagheri, Samineh: Reinforcement Learning for N-Player Games: The Importance of Final Adaptation. In: Vasile, Bogdan Filipic Massimiliano (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), Bruxelles, 2020. (Typ: Inproceedings | Links | BibTeX)
9. Cöln, Julian; Dittmar, Yannick: Untersuchung von KI Agenten im Spiel Othello. TH Köln, Institut für Informatik 2019. (Typ: Forschungsbericht | Links | BibTeX)
10. 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: Inproceedings | Links | BibTeX)
238 Einträge « 1 von 24 »