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2018

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

2015

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

SVM ensembles are better when different kernel types are combined Buchkapitel mit eigenem Titel

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

Links | BibTeX | Schlagwörter: CI, ensemble, parameter tuning, SOMA, SVM, TDMR

2013

Koch, Patrick; Konen, Wolfgang

Subsampling strategies in SVM ensembles Konferenzbeitrag

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

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

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

SVM ensembles are better when different kernel types are combined Konferenzbeitrag

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

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

2012

Konen, Wolfgang; Koch, Patrick

The TDMR Package: Tuned Data Mining in R Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (02/2012), 2012, (Last update: June 2017).

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

Konen, Wolfgang; Koch, Patrick

The TDMR Tutorial: Examples for Tuned Data Mining in R Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (03/2012), 2012, (Last update: May, 2016).

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

Koch, Patrick; Konen, Wolfgang

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

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

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

Thill, Markus; Koch, Patrick; Konen, Wolfgang

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

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

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

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

Tuning and Evolution of Support Vector Kernels Artikel

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

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

2011

Konen, Wolfgang

Der SFA-Algorithmus für Klassifikation Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (08/11), 2011, ISSN: 2191-365X.

Links | BibTeX | Schlagwörter: classification, machine learning, SFA, SOMA

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: classification, SFA, SOMA

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: 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 Forschungsbericht

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

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

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

Tuned Data Mining in R Konferenzbeitrag

Hoffmann, Frank ; Hüllermeier, Eyke (Hrsg.): Proceedings 21. Workshop Computational Intelligence, S. 147–160, Universitätsverlag Karlsruhe, 2011.

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

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

Tuned Data Mining: A Benchmark Study on Different Tuners Konferenzbeitrag

Krasnogor, Natalio (Hrsg.): GECCO '11: Proceedings of the 13th Annual Conference on Genetic andEvolutionary Computation, S. 1995–2002, 2011.

BibTeX | Schlagwörter: parameter tuning, SOMA, TDMR

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, time series

2010

Koch, Patrick; Konen, Wolfgang; Hein, Kristine

Gesture Recognition on Few Training Data using Slow Feature Analysis and Parametric Bootstrap Konferenzbeitrag

2010 International Joint Conference on Neural Networks, 2010.

Links | BibTeX | Schlagwörter: gesture, SFA, SOMA, time series

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

Optimizing Support Vector Machines for Stormwater Prediction Konferenzbeitrag

Bartz-Beielstein, Thomas ; Chiarandini, M; Paquete, L; 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: CI, optimization, parameter tuning, SOMA, SVM, TDMR

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

Optimization of Support Vector Regression Models for Stormwater Prediction Konferenzbeitrag

Hoffmann, Frank ; Hüllermeier, Eyke (Hrsg.): Proceedings 20. Workshop Computational Intelligence, S. 146–160, Universitätsverlag Karlsruhe, 2010.

BibTeX | Schlagwörter: CI, optimization, parameter tuning, SOMA, SVM, TDMR

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

Parameter-Tuned Data Mining: A General Framework Konferenzbeitrag

Hoffmann, Frank ; Hüllermeier, Eyke (Hrsg.): Proceedings 20. Workshop Computational Intelligence, Universitätsverlag Karlsruhe, 2010.

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

Konen, Wolfgang; Koch, Patrick

How slow is slow? SFA detects signals that are slower than the driving force Konferenzbeitrag

Filipic, Bogdan ; Silc, Juri (Hrsg.): Proc. 4th Int. Conf. on Bioinspired Optimization Methods and their Applications, BIOMA, Ljubljana, Slovenia, 2010.

Links | BibTeX | Schlagwörter: SFA, SOMA, time series

2009

Konen, Wolfgang

How slow is slow? SFA detects signals that are slower than the driving force Forschungsbericht

Cologne University of Applied Sciences (05/09), 2009, (e-print published at http://arxiv.org/abs/0911.4397).

Links | BibTeX | Schlagwörter: SFA, SOMA, time series

Konen, Wolfgang

On the numeric stability of the SFA implementation sfa-tk Forschungsbericht

Cologne University of Applied Sciences (05/10), 2009, (e-print published at http://arxiv.org/abs/0912.1064).

Links | BibTeX | Schlagwörter: SFA, SOMA, time series

 


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25 Einträge « 1 von 3 »
1. 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)). (Typ: Forschungsbericht | Links | BibTeX)
2. 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)). (Typ: Forschungsbericht | Links | BibTeX)
3. Stork, Jörg; Ramos, Ricardo; Koch, Patrick; Konen, Wolfgang: SVM ensembles are better when different kernel types are combined. In: Lausen, Berthold ; Krolak-Schwerdt, Sabine (Hrsg.): Data Science, Learning by Latent Structures, and Knowledge Discovery, S. 191–201, Springer, 2015. (Typ: Buchkapitel mit eigenem Titel | Links | BibTeX)
4. Koch, Patrick; Konen, Wolfgang: Subsampling strategies in SVM ensembles. In: Hoffmann, Frank ; Hüllermeier, Eyke (Hrsg.): Proceedings 23. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2013. (Typ: Konferenzbeitrag | Links | BibTeX)
5. Stork, Jörg; Ramos, Ricardo; Koch, Patrick; Konen, Wolfgang: SVM ensembles are better when different kernel types are combined. In: Lausen, Berthold (Hrsg.): European Conference on Data Analysis (ECDA13), GfKl, 2013. (Typ: Konferenzbeitrag | Links | BibTeX)
6. Konen, Wolfgang; Koch, Patrick: The TDMR 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, (02/2012), 2012, (Last update: June 2017). (Typ: Forschungsbericht | Links | BibTeX)
7. Konen, Wolfgang; Koch, Patrick: The TDMR 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, (03/2012), 2012, (Last update: May, 2016). (Typ: Forschungsbericht | Links | BibTeX)
8. Koch, Patrick; Konen, Wolfgang: Efficient sampling and handling of variance in tuning data mining models. In: Coello Coello, Carlos ; Cutello, Vincenzo ; others, (Hrsg.): PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina, S. 195–205, Springer, Heidelberg, 2012. (Typ: Konferenzbeitrag | Links | BibTeX)
9. Thill, Markus; Koch, Patrick; Konen, Wolfgang: Reinforcement learning with n-tuples on the game Connect-4. In: Coello Coello, Carlos ; Cutello, Vincenzo ; others, (Hrsg.): PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina, S. 184–194, Springer, Heidelberg, 2012. (Typ: Konferenzbeitrag | Links | BibTeX)
10. Koch, Patrick; Bischl, Bernd; Flasch, Oliver; Bartz-Beielstein, Thomas; Weihs, Claus; Konen, Wolfgang: Tuning and Evolution of Support Vector Kernels. In: Evolutionary Intelligence, 5 , S. 153–170, 2012. (Typ: Artikel | Links | BibTeX)
25 Einträge « 1 von 3 »