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257 Einträge « ‹ 8 von 26
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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.
@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}
}
72.
Koch, Patrick; Konen, Wolfgang
Efficient sampling and handling of variance in tuning data mining models Proceedings Article
In: Coello, Carlos A. Coello; Cutello, Vincenzo; others, (Hrsg.): PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina, S. 195–205, Springer, Heidelberg, 2012.
@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 = {},
pubstate = {published},
tppubtype = {inproceedings}
}
73.
Koch, Patrick; Bischl, Bernd; Flasch, Oliver; Bartz-Beielstein, Thomas; Weihs, Claus; Konen, Wolfgang
Tuning and Evolution of Support Vector Kernels Artikel
In: Evolutionary Intelligence, Bd. 5, S. 153–170, 2012.
@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 = {},
pubstate = {published},
tppubtype = {article}
}
74.
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, Nr. 02/2012, 2012.
@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 = {},
pubstate = {published},
tppubtype = {techreport}
}
75.
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, Nr. 01/12, 2012, ISSN: 2191-365X.
@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}
}
76.
Thill, Markus; Koch, Patrick; Konen, Wolfgang
Reinforcement learning with n-tuples on the game Connect-4 Proceedings Article
In: Coello, Carlos A. Coello; Cutello, Vincenzo (Hrsg.): PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina, S. 184–194, Springer, Heidelberg, 2012.
@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},
urldate = {2012-01-01},
booktitle = {PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina},
pages = {184--194},
publisher = {Springer},
address = {Heidelberg},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
77.
Zaefferer, Martin
Optimization and Empirical Analysis of an Event Detection Software for Water Quality Monitoring Abschlussarbeit
Cologne University of Applied Sciences, 2012.
@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}
}
78.
Zaefferer, Martin; Bartz-Beielstein, Thomas; Friese, Martina; Naujoks, Boris; Flasch, Oliver
MSPOT: Multi-Criteria Sequential Optimization Forschungsbericht
CIplus Nr. TR 2/2012, 2012.
@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}
}
79.
Zaefferer, Martin; Bartz-Beielstein, Thomas; Friese, Martina; Naujoks, Boris; Flasch, Oliver
Multi-Criteria Optimization for Hard Problems under Limited Budgets Proceedings Article
In: 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.
@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.
80.
Bartz-Beielstein, Thomas
Challenging Tasks in Real-World Optimization Buchabschnitt
In: Kacprzyk, Janusz; Pedrycz, Witold (Hrsg.): Handbook of Computational Intelligence, Springer, 2012.
@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}
}
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