Search Field

Zeige alle

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

2013

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

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

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

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

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

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

2011

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

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

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

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

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

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

2010

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

Parameter-Tuned Data Mining: A General Framework Inproceedings

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

Links | BibTeX | Schlagwörter: Data Mining, SOMA

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

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

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

Koch, Patrick; Konen, Wolfgang; Hein, Kristine

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

2010 International Joint Conference on Neural Networks, 2010.

Links | BibTeX | Schlagwörter: Gesture Reconginition, SFA, SOMA

Konen, Wolfgang; Koch, Patrick

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

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

Links | BibTeX | Schlagwörter: SFA, SOMA

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

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

 


Search Field

Zeige alle

24 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. 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: Inproceedings | Links | BibTeX)
4. 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), (under review), 2013. (Typ: Inproceedings | Links | BibTeX)
5. 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)
6. 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)
7. Konen, Wolfgang; Koch, Patrick: The TDMR Framework: 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. (Typ: Forschungsbericht | Links | BibTeX)
8. Koch, Patrick; Konen, Wolfgang: Efficient sampling and handling of variance in tuning data mining models. In: 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. (Typ: Inproceedings | Links | BibTeX)
9. Thill, Markus; Koch, Patrick; Konen, Wolfgang: Reinforcement learning with n-tuples on the game Connect-4. In: 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. (Typ: Inproceedings | 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)
24 Einträge « 1 von 3 »