2012
|
Flasch, Oliver; Bartz-Beielstein, Thomas Towards a Framework for the Empirical Analysis of Genetic Programming System Performance Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Faculty of Computer Science and Engineering Science, Cologne University of Applied Sciences, Germany, (05/12), 2012, ISSN: 2191-365X. Links | BibTeX | Schlagwörter: GP @techreport{Flas12a,
title = {Towards a Framework for the Empirical Analysis of Genetic Programming System Performance},
author = {Oliver Flasch and Thomas Bartz-Beielstein},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Flas12a.d/ciop0512.pdf},
issn = {2191-365X},
year = {2012},
date = {2012-01-01},
number = {05/12},
address = {Faculty of Computer Science and Engineering Science, Cologne University of Applied Sciences, Germany},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {GP},
pubstate = {published},
tppubtype = {techreport}
}
|
Friese, Martina; Bartz-Beielstein, Thomas; Vladislavleva, Katya; Flasch, Oliver; Mersmann, Olaf; Naujoks, Boris; Stork, Jörg; Zaefferer, Martin Ensemble-Based Model Selection for Smart Metering Data (Abstract) Forschungsbericht CIplus 2012. BibTeX | Schlagwörter: @techreport{Frie12a,
title = {Ensemble-Based Model Selection for Smart Metering Data (Abstract)},
author = {Martina Friese and Thomas Bartz-Beielstein and Katya Vladislavleva and Oliver Flasch and Olaf Mersmann and Boris Naujoks and Jörg Stork and Martin Zaefferer},
year = {2012},
date = {2012-01-01},
institution = {CIplus},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
|
Koch, Patrick; Konen, Wolfgang Efficient sampling and handling of variance in tuning data mining models Inproceedings Coello, Carlos Coello A; 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: SOMA, TDMR @inproceedings{Koch12ab,
title = {Efficient sampling and handling of variance in tuning data mining models},
author = {Patrick Koch and Wolfgang Konen},
editor = {Carlos A. Coello Coello and Vincenzo Cutello and others},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Koch12a.d/Koch12a.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina},
pages = {195--205},
publisher = {Springer},
address = {Heidelberg},
keywords = {SOMA, TDMR},
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: 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 = {SOMA, TDMR},
pubstate = {published},
tppubtype = {article}
}
|
Konen, Wolfgang; Koch, Patrick The TDMR Framework: 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. Links | BibTeX | Schlagwörter: SOMA, TDMR @techreport{Kone12ab,
title = {The TDMR Framework: Tuned Data Mining in R},
author = {Wolfgang Konen and Patrick Koch},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone12a.d/Kone12a.pdf},
year = {2012},
date = {2012-01-01},
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)},
keywords = {SOMA, TDMR},
pubstate = {published},
tppubtype = {techreport}
}
|
Thill, Markus Einsatz von N-Tupel-Systemen mit TD-Learning für strategische Brettspiele am Beispiel von Vier Gewinnt Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (01/12), 2012, ISSN: 2191-365X. Links | BibTeX | Schlagwörter: @techreport{Thil12ab,
title = {Einsatz von N-Tupel-Systemen mit TD-Learning für strategische Brettspiele am Beispiel von Vier Gewinnt},
author = {Markus Thill},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Thil12a.d/Thill12a.pdf},
issn = {2191-365X},
year = {2012},
date = {2012-01-01},
number = {01/12},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
|
Thill, Markus; Koch, Patrick; Konen, Wolfgang Reinforcement learning with n-tuples on the game Connect-4 Inproceedings Coello, Carlos Coello A; Cutello, Vincenzo (Hrsg.): PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina, S. 184–194, Springer, Heidelberg, 2012. Links | BibTeX | Schlagwörter: SOMA @inproceedings{Thil12b,
title = {Reinforcement learning with n-tuples on the game Connect-4},
author = {Markus Thill and Patrick Koch and Wolfgang Konen},
editor = {Carlos A. Coello Coello and Vincenzo Cutello},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Thi12.d/Thil12.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina},
pages = {184--194},
publisher = {Springer},
address = {Heidelberg},
keywords = {SOMA},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Zaefferer, Martin Optimization and Empirical Analysis of an Event Detection Software for Water Quality Monitoring Abschlussarbeit Cologne University of Applied Sciences, 2012. Links | BibTeX | Schlagwörter: @mastersthesis{Zaef12d,
title = {Optimization and Empirical Analysis of an Event Detection Software for Water Quality Monitoring},
author = {Martin Zaefferer},
url = {http://maanvs03.gm.fh-koeln.de/webpub/PublicDocs.d/Zaef12d.d/Zaef12d.pdf},
year = {2012},
date = {2012-01-01},
school = {Cologne University of Applied Sciences},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
|
Zaefferer, Martin; Bartz-Beielstein, Thomas; Friese, Martina; Naujoks, Boris; Flasch, Oliver MSPOT: Multi-Criteria Sequential Optimization Forschungsbericht CIplus (TR 2/2012), 2012. BibTeX | Schlagwörter: @techreport{Zaef12b,
title = {MSPOT: Multi-Criteria Sequential Optimization},
author = {Martin Zaefferer and Thomas Bartz-Beielstein and Martina Friese and Boris Naujoks and Oliver Flasch},
year = {2012},
date = {2012-01-01},
number = {TR 2/2012},
institution = {CIplus},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
|
Zaefferer, Martin; Bartz-Beielstein, Thomas; Friese, Martina; Naujoks, Boris; Flasch, Oliver Multi-Criteria Optimization for Hard Problems under Limited Budgets Inproceedings Soule, Terry; Auger, Anne; Moore, Jason; Pelta, David; Solnon, Christine; Preuss, Mike; Dorin, Alan; Ong, Yew-Soon; Blum, Christian; Silva, Dario Landa; Neumann, Frank; Yu, Tina; Ekart, Aniko; Browne, Wil; Kovacs, Tim; Wong, Man-Leung; Pizzuti, Clara; Rowe, Jon; Friedrich, Tobias; Squillero, Giovanni; Bredeche, Nicolas; Smith, Stephen; Motsinger-Rei, Alison; Lozano, Jose; Pelikan, Martin; Meyer-Nienber, Silja; Igel, Christian; and, Greg Hornby (Hrsg.): GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, S. 1451–1452, ACM, Philadelphia, Pennsylvania, USA, 2012, ISBN: 978-1-4503-1178-6. Abstract | BibTeX | Schlagwörter: @inproceedings{Zaef12a,
title = {Multi-Criteria Optimization for Hard Problems under Limited Budgets},
author = {Martin Zaefferer and Thomas Bartz-Beielstein and Martina Friese and Boris Naujoks and Oliver Flasch},
editor = {Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Wil Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen Smith and Alison Motsinger-Rei and Jose Lozano and Martin Pelikan and Silja Meyer-Nienber and Christian Igel and Greg Hornby and},
isbn = {978-1-4503-1178-6},
year = {2012},
date = {2012-01-01},
booktitle = {GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion},
pages = {1451--1452},
publisher = {ACM},
address = {Philadelphia, Pennsylvania, USA},
abstract = {Many relevant industrial optimization tasks feature more than just one quality criterion. State-of-the-art multi-criteria optimization algorithms require a relatively large number of function evaluations (usually more than 10^5) to approximate Pareto fronts. Due to high cost or time consumption this large amount of function evaluations is not always available. Therefore, it is obvious to combine techniques such as Sequential Parameter Optimization (SPO), which need a very small number of function evaluations only, with techniques from evolutionary multi-criteria optimization (EMO). In this paper, we show how EMO techniques can be efficiently integrated into the framework of the SPO Toolbox (SPOT). We discuss advantages of this approach in comparison to state-of-the-art optimizers. Moreover, with the resulting capability to allow competing objectives, the opportunity arises to not only aim for the best, but also for the most robust solution. Herein we present an approach to optimize not only the quality of the solution, but also its robustness, taking these two goals as objectives for multi-criteria optimization into account.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Many relevant industrial optimization tasks feature more than just one quality criterion. State-of-the-art multi-criteria optimization algorithms require a relatively large number of function evaluations (usually more than 10^5) to approximate Pareto fronts. Due to high cost or time consumption this large amount of function evaluations is not always available. Therefore, it is obvious to combine techniques such as Sequential Parameter Optimization (SPO), which need a very small number of function evaluations only, with techniques from evolutionary multi-criteria optimization (EMO). In this paper, we show how EMO techniques can be efficiently integrated into the framework of the SPO Toolbox (SPOT). We discuss advantages of this approach in comparison to state-of-the-art optimizers. Moreover, with the resulting capability to allow competing objectives, the opportunity arises to not only aim for the best, but also for the most robust solution. Herein we present an approach to optimize not only the quality of the solution, but also its robustness, taking these two goals as objectives for multi-criteria optimization into account. |
Bartz-Beielstein, Thomas Challenging Tasks in Real-World Optimization Buchkapitel mit eigenem Titel Kacprzyk, Janusz; Pedrycz, Witold (Hrsg.): Handbook of Computational Intelligence, Springer, 2012. BibTeX | Schlagwörter: @incollection{Bart12a,
title = {Challenging Tasks in Real-World Optimization},
author = {Thomas Bartz-Beielstein},
editor = {Janusz Kacprzyk and Witold Pedrycz},
year = {2012},
date = {2012-01-01},
booktitle = {Handbook of Computational Intelligence},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
|
Bartz-Beielstein, T Research Topics in Sequential Parameter Optimization Sonstige Presentation --- ESF Workshop Rome, 2012. BibTeX | Schlagwörter: @misc{Bart12g,
title = {Research Topics in Sequential Parameter Optimization},
author = {Bartz-Beielstein, T},
year = {2012},
date = {2012-01-01},
howpublished = {Presentation --- ESF Workshop Rome},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Bartz-Beielstein, Thomas Spot Seven Sonstige Presentation---ESF Workshop Rome, 2012. BibTeX | Schlagwörter: SPOT @misc{Bart12h,
title = {Spot Seven},
author = {Thomas Bartz-Beielstein},
year = {2012},
date = {2012-01-01},
howpublished = {Presentation---ESF Workshop Rome},
keywords = {SPOT},
pubstate = {published},
tppubtype = {misc}
}
|
Bartz-Beielstein, Thomas; Flasch, Oliver; Zaefferer, Martin Sequential Parameter Optimization for Symbolic Regression Inproceedings Gustafson, Steven; Vladislavleva, Ekaterina (Hrsg.): GECCO 2012 Symbolic regression and modeling workshop, S. 495–496, ACM, Philadelphia, Pennsylvania, USA, 2012, ISBN: 978-1-4503-1178-6. Abstract | BibTeX | Schlagwörter: @inproceedings{Flas12b,
title = {Sequential Parameter Optimization for Symbolic Regression},
author = {Thomas Bartz-Beielstein and Oliver Flasch and Martin Zaefferer},
editor = {Steven Gustafson and Ekaterina Vladislavleva},
isbn = {978-1-4503-1178-6},
year = {2012},
date = {2012-01-01},
booktitle = {GECCO 2012 Symbolic regression and modeling workshop},
pages = {495--496},
publisher = {ACM},
address = {Philadelphia, Pennsylvania, USA},
abstract = {Modern Symbolic Regression (SR) engines are complex systems of many components, most of which require some form of parameterization. In this talk, we show how to apply Sequential Parameter Optimization (SPO) as a rigorous method for finding near-optimal parameter settings for SR systems. As modern SR systems often offer alternative operator sets for population initialization, variation, and selection, we also demonstrate how to use modern Design of Experiments (DoE) methods to find problem-specific near-optimal SR system configurations, in addition to near-optimal parameterizations for each selected system component. The experimental design for SR can somehow be tricky, because of interactions in the parameter settings. Methods for handling configurations of parameters which depend on higher-level parameters will be presented. Our exposition is based on a simple framework for statistical sound, reproducible empirical research in SR.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Modern Symbolic Regression (SR) engines are complex systems of many components, most of which require some form of parameterization. In this talk, we show how to apply Sequential Parameter Optimization (SPO) as a rigorous method for finding near-optimal parameter settings for SR systems. As modern SR systems often offer alternative operator sets for population initialization, variation, and selection, we also demonstrate how to use modern Design of Experiments (DoE) methods to find problem-specific near-optimal SR system configurations, in addition to near-optimal parameterizations for each selected system component. The experimental design for SR can somehow be tricky, because of interactions in the parameter settings. Methods for handling configurations of parameters which depend on higher-level parameters will be presented. Our exposition is based on a simple framework for statistical sound, reproducible empirical research in SR. |
Bartz-Beielstein, Thomas; Friese, Martina; Naujoks, Boris; Zaefferer, Martin SPOT Applied to Non-Stochastic Optimization Problems---An Experimental Study Inproceedings Rodriguez, Katya; Blum, Christian (Hrsg.): GECCO 2012 Late breaking abstracts workshop, S. 645–646, ACM, Philadelphia, Pennsylvania, USA, 2012, ISBN: 978-1-4503-1178-6. BibTeX | Schlagwörter: SPOT @inproceedings{Bart12d,
title = {SPOT Applied to Non-Stochastic Optimization Problems---An Experimental Study},
author = {Thomas Bartz-Beielstein and Martina Friese and Boris Naujoks and Martin Zaefferer},
editor = {Katya Rodriguez and Christian Blum},
isbn = {978-1-4503-1178-6},
year = {2012},
date = {2012-01-01},
booktitle = {GECCO 2012 Late breaking abstracts workshop},
pages = {645--646},
publisher = {ACM},
address = {Philadelphia, Pennsylvania, USA},
keywords = {SPOT},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bartz-Beielstein, Thomas; Preuss, Mike; Zaefferer, Martin Statistical Analysis of Optimization Algorithms with R Inproceedings Ochoa, Gabriela (Hrsg.): GECCO 2012 Specialized techniques and applications tutorials, S. 1259–1286, ACM, Philadelphia, Pennsylvania, USA, 2012, ISBN: 978-1-4503-1178-6. Abstract | BibTeX | Schlagwörter: optimization @inproceedings{Bart12f,
title = {Statistical Analysis of Optimization Algorithms with R},
author = {Thomas Bartz-Beielstein and Mike Preuss and Martin Zaefferer},
editor = {Gabriela Ochoa},
isbn = {978-1-4503-1178-6},
year = {2012},
date = {2012-01-01},
booktitle = {GECCO 2012 Specialized techniques and applications tutorials},
pages = {1259--1286},
publisher = {ACM},
address = {Philadelphia, Pennsylvania, USA},
abstract = {Based on experiences from several (rather theoretical) tutorials and workshops devoted to the experimental analysis of algorithms at the world\'s leading conferences in the field of Computational Intelligence, a practical, hands-on tutorial for the statistical analysis of optimization algorithms is presented. This tutorial -demonstrates how to analyze results from real experimental studies, e.g., experimental studies in EC -item gives a comprehensive introduction in the R language -item introduces the powerful GUI rstudio (http://rstudio.org) -exemplifies the analysis using SPOT (http://cran.r-project.org/web/packages/SPOT/) R is the most attractive and fastest growing open source computer language for statistical computing and graphics in the world. It provides a wide variety of statistical and graphical techniques: linear and nonlinear modeling, statistical tests, time series analysis, classification, clustering, etc. R is distributed over CRAN (http://cran.r-project.org), which is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R.},
keywords = {optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
Based on experiences from several (rather theoretical) tutorials and workshops devoted to the experimental analysis of algorithms at the world's leading conferences in the field of Computational Intelligence, a practical, hands-on tutorial for the statistical analysis of optimization algorithms is presented. This tutorial -demonstrates how to analyze results from real experimental studies, e.g., experimental studies in EC -item gives a comprehensive introduction in the R language -item introduces the powerful GUI rstudio (http://rstudio.org) -exemplifies the analysis using SPOT (http://cran.r-project.org/web/packages/SPOT/) R is the most attractive and fastest growing open source computer language for statistical computing and graphics in the world. It provides a wide variety of statistical and graphical techniques: linear and nonlinear modeling, statistical tests, time series analysis, classification, clustering, etc. R is distributed over CRAN (http://cran.r-project.org), which is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R. |
Bartz-Beielstein, Thomas; Zaefferer, Martin A Gentle Introduction to Sequential Parameter Optimization Forschungsbericht CIplus (TR 01/2012), 2012. BibTeX | Schlagwörter: @techreport{Bart12i,
title = {A Gentle Introduction to Sequential Parameter Optimization},
author = {Thomas Bartz-Beielstein and Martin Zaefferer},
year = {2012},
date = {2012-01-01},
number = {TR 01/2012},
institution = {CIplus},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
|
2011
|
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, S. 119–120, ACM, Dublin, Ireland, 2011, ISBN: 978-1-4503-0690-4. Links | BibTeX | Schlagwörter: @inproceedings{Bart11b,
title = {Noisy optimization with sequential parameter optimization and optimal computational budget allocation},
author = {Bartz-Beielstein, Thomas and Friese, Martina and Zaefferer, Martin and Naujoks, Boris and Flasch, Oliver and Konen, Wolfgang and Koch, Patrick},
url = {http://doi.acm.org/10.1145/2001858.2001926},
isbn = {978-1-4503-0690-4},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the 13th annual conference companion on Genetic and evolutionary computation},
pages = {119--120},
publisher = {ACM},
address = {Dublin, Ireland},
series = {GECCO '11},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Flasch, Oliver; Bartz-Beielstein, Thomas; 1, Daniel Bicker; Kantschik, Wolfgang; von Strachwitz, Christian Results of the GECCO 2011 Industrial Challenge: Optimizing Foreign Exchange Trading Strategies Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Scienceand Engineering Science, (10/11), 2011, ISSN: 2191-365X. Links | BibTeX | Schlagwörter: GeCCO, optimization @techreport{Flas11ab,
title = {Results of the GECCO 2011 Industrial Challenge: Optimizing Foreign Exchange Trading Strategies},
author = {Oliver Flasch and Thomas Bartz-Beielstein and Daniel Bicker 1 and Wolfgang Kantschik and Christian von Strachwitz},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Flas11a.d/Flas11a.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-01-01},
number = {10/11},
address = {Cologne University of Applied Science, Faculty of Computer Scienceand Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {GeCCO, optimization},
pubstate = {published},
tppubtype = {techreport}
}
|
Friese, Martina; Zaefferer, Martin; Bartz-Beielstein, Thomas; Flasch, Oliver; Koch, Patrick; Konen, Wolfgang; Naujoks, Boris Ensemble Based Optimization and Tuning Algorithms Inproceedings Hoffmann, F; Hüllermeier, E (Hrsg.): Proceedings 21. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2011. BibTeX | Schlagwörter: optimization @inproceedings{Frie11ab,
title = {Ensemble Based Optimization and Tuning Algorithms},
author = {Martina Friese and Martin Zaefferer and Thomas Bartz-Beielstein and Oliver Flasch and Patrick Koch and Wolfgang Konen and Boris Naujoks},
editor = {F. Hoffmann and E. Hüllermeier},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings 21. Workshop Computational Intelligence},
pages = {119--134},
publisher = {Universitätsverlag Karlsruhe},
keywords = {optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Friese, Martina ; Zaefferer, Martin ; Bartz-Beielstein Thomasand Flasch, Oliver ; Koch, Patrick ; Konen, Wolfgang ; Naujoks, Boris Ensemble Based Optimization and Tuning Algorithms Inproceedings Hoffmann, Frank ; Hüllermeier, Eyke (Hrsg.): Proceedings 21. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2011. BibTeX | Schlagwörter: TDMR @inproceedings{Frie11a,
title = {Ensemble Based Optimization and Tuning Algorithms},
author = {Friese, Martina and Zaefferer, Martin and Bartz-Beielstein, Thomasand Flasch, Oliver and Koch, Patrick and Konen, Wolfgang and Naujoks, Boris},
editor = {Hoffmann, Frank and Hüllermeier, Eyke},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings 21. Workshop Computational Intelligence},
pages = {119--134},
publisher = {Universitätsverlag Karlsruhe},
keywords = {TDMR},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Koch, Patrick; Bischl, Bernd; Flasch, Oliver; Bartz-Beielstein, Thomas; Konen, Wolfgang On the Tuning and Evolution of Support Vector Kernels Forschungsbericht 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 | Schlagwörter: SOMA, TDMR @techreport{Koch11ab,
title = {On the Tuning and Evolution of Support Vector Kernels},
author = {Patrick Koch and Bernd Bischl and Oliver Flasch and Thomas Bartz-Beielstein and Wolfgang Konen},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Koch11a.d/svmTuning.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-01-01},
number = {04/11},
address = {Cologne University of Applied Science, Faculty of Computer Scienceand Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {SOMA, TDMR},
pubstate = {published},
tppubtype = {techreport}
}
|
Koch, Patrick; Bischl, Bernd; Flasch, Oliver; Bartz-Beielstein, Thomas; Konen, Wolfgang On the Tuning and Evolution of Support Vector Kernels Forschungsbericht 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 | Schlagwörter: TDMR @techreport{Koch11a,
title = {On the Tuning and Evolution of Support Vector Kernels},
author = {Patrick Koch and Bernd Bischl and Oliver Flasch and Thomas Bartz-Beielstein and Wolfgang Konen},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Koch11a.d/svmTuning.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-01-01},
number = {04/11},
address = {Cologne University of Applied Science, Faculty of Computer Scienceand Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {TDMR},
pubstate = {published},
tppubtype = {techreport}
}
|
Koch, Patrick; Konen, Wolfgang; Naujoks, Boris; Flasch, Oliver; Friese, Martina; Zaefferer, Martin; Bartz-Beielstein, Thomas Tuned Data Mining in R Inproceedings Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 21. Workshop Computational Intelligence, S. 147–160, Universitätsverlag Karlsruhe, 2011. BibTeX | Schlagwörter: Data Mining, SOMA, TDMR @inproceedings{Koch11bb,
title = {Tuned Data Mining in R},
author = {Patrick Koch and Wolfgang Konen and Boris Naujoks and Oliver Flasch and Martina Friese and Martin Zaefferer and Thomas Bartz-Beielstein},
editor = {Frank Hoffmann and Eyke Hüllermeier},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings 21. Workshop Computational Intelligence},
pages = {147--160},
publisher = {Universitätsverlag Karlsruhe},
keywords = {Data Mining, SOMA, TDMR},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Konen, Wolfgang Self-configuration from a Machine-Learning Perspective Forschungsbericht 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 | Schlagwörter: Gesture Reconginition, TDMR @techreport{Kone11cb,
title = {Self-configuration from a Machine-Learning Perspective},
author = {Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone11c.d/Kone11c.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-01-01},
number = {05/11; arXiv: 1105.1951},
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/1105.1951 and Dagstuhl Preprint Archive, Workshop 11181 "Organic Computing -- Design of Self-Organizing Systems"},
keywords = {Gesture Reconginition, TDMR},
pubstate = {published},
tppubtype = {techreport}
}
|
Konen, Wolfgang SFA classification with few training data: Improvements with parametric bootstrap Forschungsbericht 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 | Schlagwörter: SFA, SOMA @techreport{Kone11fb,
title = {SFA classification with few training data: Improvements with parametric bootstrap},
author = {Wolfgang Konen},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Konen11f.d/Konen11f.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-01-01},
number = {09/11},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {SFA, SOMA},
pubstate = {published},
tppubtype = {techreport}
}
|
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: machine learning, SFA, SOMA @techreport{Kone11e,
title = {Der SFA-Algorithmus für Klassifikation},
author = {Wolfgang Konen},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Konen11e.d/Konen11e.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-01-01},
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 = {machine learning, SFA, SOMA},
pubstate = {published},
tppubtype = {techreport}
}
|
Konen, Wolfgang; Koch, Patrick The slowness principle: SFA can detect different slow components in nonstationary time series Artikel International Journal of Innovative Computing and Applications (IJICA), 3 (1), S. 3–10, 2011. Links | BibTeX | Schlagwörter: SFA, SOMA @article{KonK10bb,
title = {The slowness principle: SFA can detect different slow components in nonstationary time series},
author = {Wolfgang Konen and Patrick Koch},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/IJICA2010-howslow.pdf},
year = {2011},
date = {2011-01-01},
journal = {International Journal of Innovative Computing and Applications (IJICA)},
volume = {3},
number = {1},
pages = {3--10},
keywords = {SFA, SOMA},
pubstate = {published},
tppubtype = {article}
}
|
Konen, Wolfgang; Koch, Patrick; Flasch, Oliver; Bartz-Beielstein, Thomas; Friese, Martina; Naujoks, Boris Tuned Data Mining: A Benchmark Study on Different Tuners Inproceedings Krasnogor, Natalio (Hrsg.): GECCO '11: Proceedings of the 13th Annual Conference on Genetic andEvolutionary Computation, S. 1995–2002, 2011. BibTeX | Schlagwörter: Data Mining, SOMA, TDMR @inproceedings{Kone11db,
title = {Tuned Data Mining: A Benchmark Study on Different Tuners},
author = {Wolfgang Konen and Patrick Koch and Oliver Flasch and Thomas Bartz-Beielstein and Martina Friese and Boris Naujoks},
editor = {Natalio Krasnogor},
year = {2011},
date = {2011-01-01},
booktitle = {GECCO '11: Proceedings of the 13th Annual Conference on Genetic andEvolutionary Computation},
pages = {1995--2002},
keywords = {Data Mining, SOMA, TDMR},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bartz-Beielstein, Thomas; Friese, Matina Sequential Parameter Optimization and Optimal Computational Budget Allocation for Noisy Optimization Problems Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (02/11), 2011, ISSN: 2191-365X. Links | BibTeX | Schlagwörter: @techreport{Bart11a,
title = {Sequential Parameter Optimization and Optimal Computational Budget Allocation for Noisy Optimization Problems},
author = {Thomas Bartz-Beielstein and Matina Friese},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Bart11a.d/Bart11a.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-01-01},
number = {02/11},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
|
Bartz-Beielstein, Thomas; Friese, Martina; Flasch, Oliver; Konen, Wolfgang; Koch, Patrick; Naujoks, Boris Ensemble-Based Modeling Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (06/11), 2011, ISSN: 2191-365X. Links | BibTeX | Schlagwörter: @techreport{Bart11eb,
title = {Ensemble-Based Modeling},
author = {Thomas Bartz-Beielstein and Martina Friese and Oliver Flasch and Wolfgang Konen and Patrick Koch and Boris Naujoks},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Bart11e.d/Bart11e.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-01-01},
number = {06/11},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
|
Flasch, Oliver; Bartz-Beielstein, Thomas; Bicker, Daniel; Kantschik, Wolfgang; von Strachwitz, Christian Results of the GECCO 2011 Industrial Challenge: Optimizing Foreign Exchange Trading Strategies Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (10/11), 2011, ISSN: 2191-365X. Links | BibTeX | Schlagwörter: @techreport{Flas11a,
title = {Results of the GECCO 2011 Industrial Challenge: Optimizing Foreign Exchange Trading Strategies},
author = {Oliver Flasch and Thomas Bartz-Beielstein and Daniel Bicker and Wolfgang Kantschik and Christian von Strachwitz},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Flas11a.d/Flas11a.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-01-01},
number = {10/11},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
|
Judt, Leonard; Mersmann, Olaf; Naujoks, Boris Non-monotonicity of Obtained Hypervolume in 1-greedy S-Metric Selection Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (07/11), 2011, ISSN: 2191-365X. Links | BibTeX | Schlagwörter: @techreport{Judt11a,
title = {Non-monotonicity of Obtained Hypervolume in 1-greedy S-Metric Selection},
author = {Leonard Judt and Olaf Mersmann and Boris Naujoks},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Judt11a.d/Judt11a.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-01-01},
number = {07/11},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
|
Konen, Wolfgang The TDM Framework: Tuned Data Mining in R Forschungsbericht Cologne University of Applied Sciences (01/11), 2011. Links | BibTeX | Schlagwörter: @techreport{Kone11a,
title = {The TDM Framework: Tuned Data Mining in R},
author = {Wolfgang Konen},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Kone11a.d/TDM-docu.pdf},
year = {2011},
date = {2011-01-01},
number = {01/11},
institution = {Cologne University of Applied Sciences},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
|
Bartz-Beielstein, Thomas; Preuss, Mike Automatic and interactive tuning of algorithms Inproceedings GECCO (Companion), S. 1361-1380, 2011. Links | BibTeX | Schlagwörter: @inproceedings{Bart11g,
title = {Automatic and interactive tuning of algorithms},
author = {Thomas Bartz-Beielstein and Mike Preuss},
url = {http://doi.acm.org/10.1145/2001858.2002141},
year = {2011},
date = {2011-01-01},
booktitle = {GECCO (Companion)},
pages = {1361-1380},
crossref = {Kras11a},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bartz-Beielstein, Thomas RGP - Statistical Analysis (Working Paper) Forschungsbericht Cologne Unversity of Applied Sciences 2011. BibTeX | Schlagwörter: RGP @techreport{Bart11n,
title = {RGP - Statistical Analysis (Working Paper)},
author = {Thomas Bartz-Beielstein},
year = {2011},
date = {2011-01-01},
institution = {Cologne Unversity of Applied Sciences},
keywords = {RGP},
pubstate = {published},
tppubtype = {techreport}
}
|
Bartz--Beielstein, Thomas; Preuß, Mike Experimental Analysis of Optimization Algorithms: Tuning and Beyond Buchkapitel mit eigenem Titel Borenstein, Yossi; Moraglio, Alberto (Hrsg.): Theory and Principled Methods for Designing Metaheuristics, Springer, Berlin, Heidelberg, New York, 2011, (accepted). BibTeX | Schlagwörter: optimization @incollection{Bart11j,
title = {Experimental Analysis of Optimization Algorithms: Tuning and Beyond},
author = {Thomas Bartz--Beielstein and Mike Preuß},
editor = {Yossi Borenstein and Alberto Moraglio},
year = {2011},
date = {2011-01-01},
booktitle = {Theory and Principled Methods for Designing Metaheuristics},
publisher = {Springer},
address = {Berlin, Heidelberg, New York},
note = {accepted},
keywords = {optimization},
pubstate = {published},
tppubtype = {incollection}
}
|
Bartz-Beielstein, Thomas; Preuss, Mike Automatic and Interactive Tuning of Algorithms (Tutorial) Sonstige Genetic and Evolutionary Computation Conf.~(GECCO~2011), Dublin, 2011. BibTeX | Schlagwörter: @misc{Bart11h,
title = {Automatic and Interactive Tuning of Algorithms (Tutorial)},
author = {Thomas Bartz-Beielstein and Mike Preuss},
year = {2011},
date = {2011-01-01},
howpublished = {Genetic and Evolutionary Computation Conf.~(GECCO~2011), Dublin},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Bartz-Beielstein, Thomas; Zaefferer, Martin SPOT Package Vignette Forschungsbericht Cologne University of Applied Sciences 2011. Links | BibTeX | Schlagwörter: SPOT @techreport{Bart11m,
title = {SPOT Package Vignette},
author = {Thomas Bartz-Beielstein and Martin Zaefferer},
url = {http://cran.r-project.org/web/packages/SPOT/vignettes/SPOT.pdf},
year = {2011},
date = {2011-01-01},
institution = {Cologne University of Applied Sciences},
keywords = {SPOT},
pubstate = {published},
tppubtype = {techreport}
}
|
2010
|
Bartz-Beielstein, Thomas; Flasch, Oliver; Koch, Patrick; Konen, Wolfgang SPOT: A Toolbox for Interactive and Automatic Tuning in the R Environment Inproceedings Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 20. Workshop Computational Intelligence, S. 264–273, Universitätsverlag Karlsruhe, 2010. BibTeX | Schlagwörter: SPOT @inproceedings{Bart10p,
title = {SPOT: A Toolbox for Interactive and Automatic Tuning in the R Environment},
author = {Thomas Bartz-Beielstein and Oliver Flasch and Patrick Koch and Wolfgang Konen},
editor = {Frank Hoffmann and Eyke Hüllermeier},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings 20. Workshop Computational Intelligence},
pages = {264--273},
publisher = {Universitätsverlag Karlsruhe},
keywords = {SPOT},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bartz-Beielstein, Thomas; Flasch, Oliver; Koch, Patrick; Konen, Wolfgang SPOT: A Toolbox for Interactive and Automatic Tuning of SearchHeuristics and Simulation Models in the R Environment Forschungsbericht Cologne University of Applied Sciences 2010. BibTeX | Schlagwörter: FIWA @techreport{Bart10q,
title = {SPOT: A Toolbox for Interactive and Automatic Tuning of SearchHeuristics and Simulation Models in the R Environment},
author = {Thomas Bartz-Beielstein and Oliver Flasch and Patrick Koch and Wolfgang Konen },
year = {2010},
date = {2010-01-01},
institution = {Cologne University of Applied Sciences},
keywords = {FIWA},
pubstate = {published},
tppubtype = {techreport}
}
|
Flasch, Oliver; Bartz-Beielstein, Thomas; Davtyan, Arthur; Koch, Patrick; Konen, Wolfgang; Oyetoyan, Tosin; Tamutan, Michael Comparing SPO-tuned GP and NARX prediction models for stormwater tank fill level prediction Inproceedings Fogel, Gary; et al., (Hrsg.): Proc. IEEE Congress Evolutionary Computation (CEC), S. 1579–1586, 2010. BibTeX | Schlagwörter: GP, Prediction @inproceedings{Flas10eb,
title = {Comparing SPO-tuned GP and NARX prediction models for stormwater tank fill level prediction},
author = {Oliver Flasch and Thomas Bartz-Beielstein and Arthur Davtyan and Patrick Koch and Wolfgang Konen and Tosin Oyetoyan and Michael Tamutan},
editor = {Gary Fogel and et al.},
year = {2010},
date = {2010-01-01},
booktitle = {Proc. IEEE Congress Evolutionary Computation (CEC)},
pages = {1579--1586},
keywords = {GP, Prediction},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Flasch, Oliver; Bartz-Beielstein, Thomas; Davtyan, Arthur; Koch, Patrick; Konen, Wolfgang; Oyetoyan, Tosin Daniel; Tamutan, Michael Comparing CI Methods for Prediction Models in Environmental Engineering Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Faculty of Computer Science and Engineering Science, Cologne University of Applied Sciences, Germany, (02/10), 2010, ISSN: 2191-365X. Links | BibTeX | Schlagwörter: FIWA, Prediction @techreport{Flas10ab,
title = {Comparing CI Methods for Prediction Models in Environmental Engineering},
author = {Oliver Flasch and Thomas Bartz-Beielstein and Arthur Davtyan and Patrick Koch and Wolfgang Konen and Tosin Daniel Oyetoyan and Michael Tamutan},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Flas10a.d/ciop0210.pdf},
issn = {2191-365X},
year = {2010},
date = {2010-01-01},
number = {02/10},
address = {Faculty of Computer Science and Engineering Science, Cologne University of Applied Sciences, Germany},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {FIWA, Prediction},
pubstate = {published},
tppubtype = {techreport}
}
|
Flasch, Oliver; Bartz-Beielstein, Thomas; Koch, Patrick; Konen, Wolfgang Clustering Based Niching for Genetic Programming in the R Environment Inproceedings Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 20. Workshop Computational Intelligence, S. 33–46, Universit, 2010. BibTeX | Schlagwörter: Clustering, Genetic Programming, R @inproceedings{Flas10fb,
title = {Clustering Based Niching for Genetic Programming in the R Environment},
author = {Oliver Flasch and Thomas Bartz-Beielstein and Patrick Koch and Wolfgang Konen},
editor = {Frank Hoffmann and Eyke Hüllermeier},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings 20. Workshop Computational Intelligence},
pages = {33--46},
publisher = {Universit},
keywords = {Clustering, Genetic Programming, R},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Flasch, Oliver; Mersmann, Olaf; Bartz-Beielstein, Thomas RGP: An Open Source Genetic Programming System for the R Environment Inproceedings Pelikan, Martin; Branke, Jürgen (Hrsg.): Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, S. 2071-2072, ACM, 2010. BibTeX | Schlagwörter: Genetic Programming, GP, R, RGP @inproceedings{Flas10d,
title = {RGP: An Open Source Genetic Programming System for the R Environment},
author = {Oliver Flasch and Olaf Mersmann and Thomas Bartz-Beielstein},
editor = {Martin Pelikan and Jürgen Branke},
year = {2010},
date = {2010-01-01},
booktitle = {Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon},
pages = {2071-2072},
publisher = {ACM},
keywords = {Genetic Programming, GP, R, RGP},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Hein, Kristine Gestenerkennung mit Slow Feature Analysis (SFA) - Klassifizierung von beschleunigungsbasierten 3Đ-Gesten des Wii-Controllers Forschungsbericht FH Köln 2010. Links | BibTeX | Schlagwörter: Gesture Reconginition, SFA, SOMA @techreport{Hein10b,
title = {Gestenerkennung mit Slow Feature Analysis (SFA) - Klassifizierung von beschleunigungsbasierten 3Đ-Gesten des Wii-Controllers},
author = {Kristine Hein},
url = {http://www.gm.fh-koeln.de/~konen/research/PaperPDF/MA-KristineHein-2010.pdf},
year = {2010},
date = {2010-01-01},
institution = {FH Köln},
keywords = {Gesture Reconginition, SFA, SOMA},
pubstate = {published},
tppubtype = {techreport}
}
|
Hein, Kristine Lernende Klassifikation beschleunigungsbasierter 3D-Gesten des Wii-Controllers Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Scienc and Engineering Science, (01-10), 2010, ISSN: 2191-365X. Links | BibTeX | Schlagwörter: Gesture Reconginition, SFA @techreport{Hein10bc,
title = {Lernende Klassifikation beschleunigungsbasierter 3D-Gesten des Wii-Controllers},
author = {Kristine Hein},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Hein10b.d/Klassifikation3D.pdf},
issn = {2191-365X},
year = {2010},
date = {2010-01-01},
number = {01-10},
address = {Cologne University of Applied Science, Faculty of Computer Scienc and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {Gesture Reconginition, SFA},
pubstate = {published},
tppubtype = {techreport}
}
|
Hutter, Frank; Bartz-Beielstein, Thomas; Hoos, Holger; Leyton-Brown, Kevin; Murphy, Kevin P Sequential Model-Based Parameter Optimisation: an Experimental Investigation of Automated and Interactive Approaches Buchkapitel mit eigenem Titel Bartz-Beielstein, Thomas; Chiarandini, Marco; Paquete, Luis; Preuss, Mike (Hrsg.): Experimental Methods for the Analysis of Optimization Algorithms, S. 361–414, Springer, Berlin, Heidelberg, New York, 2010. BibTeX | Schlagwörter: optimization @incollection{Hutt09a,
title = {Sequential Model-Based Parameter Optimisation: an Experimental Investigation of Automated and Interactive Approaches},
author = {Frank Hutter and Thomas Bartz-Beielstein and Holger Hoos and Kevin Leyton-Brown and Kevin P. Murphy},
editor = {Thomas Bartz-Beielstein and Marco Chiarandini and Luis Paquete and Mike Preuss},
year = {2010},
date = {2010-01-01},
booktitle = {Experimental Methods for the Analysis of Optimization Algorithms},
pages = {361--414},
publisher = {Springer},
address = {Berlin, Heidelberg, New York},
keywords = {optimization},
pubstate = {published},
tppubtype = {incollection}
}
|
Koch, Patrick; Konen, Wolfgang; Flasch, Oliver; Bartz-Beielstein, Thomas Optimizing Support Vector Machines for Stormwater Prediction Inproceedings Bartz-Beielstein, Thomas; Chiarandini, ; Paquete, ; Preuss, Mike (Hrsg.): Proceedings of Workshop on Experimental Methods for the Assessment of Computational Systems joint to PPSN2010, S. 47–59, TU Dortmund, 2010. Links | BibTeX | Schlagwörter: optimization, SOMA, SVM, TDMR @inproceedings{Koch10bb,
title = {Optimizing Support Vector Machines for Stormwater Prediction},
author = {Patrick Koch and Wolfgang Konen and Oliver Flasch and Thomas Bartz-Beielstein},
editor = {Thomas Bartz-Beielstein and Chiarandini and Paquete and Mike Preuss},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/PPSN2010-appStorm2.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of Workshop on Experimental Methods for the Assessment of Computational Systems joint to PPSN2010},
number = {TR10-2-007},
pages = {47--59},
address = {TU Dortmund},
keywords = {optimization, SOMA, SVM, TDMR},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Koch, Patrick; Konen, Wolfgang; Flasch, Oliver; Bartz-Beielstein, Thomas Optimization of Support Vector Regression Models for Stormwater Prediction Inproceedings Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 20. Workshop Computational Intelligence, S. 146–160, Universitätsverlag Karlsruhe, 2010. BibTeX | Schlagwörter: optimization, Prediction, SOMA, SVM, TDMR @inproceedings{Koch10cb,
title = {Optimization of Support Vector Regression Models for Stormwater Prediction},
author = {Patrick Koch and Wolfgang Konen and Oliver Flasch and Thomas Bartz-Beielstein},
editor = {Frank Hoffmann and Eyke Hüllermeier},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings 20. Workshop Computational Intelligence},
pages = {146--160},
publisher = {Universitätsverlag Karlsruhe},
keywords = {optimization, Prediction, SOMA, SVM, TDMR},
pubstate = {published},
tppubtype = {inproceedings}
}
|
