Feature selection for support vector machines with RBF...

Main
Feature selection for support vector...

Feature selection for support vector machines with RBF kernel

Q Liu，C Chen，Z Yang，Z Hu

0 / 0

Wie gefällt Ihnen dieses Buch?

Wie ist die Qualität der Datei?

Herunterladen Sie das Buch, um Ihre Qualität zu bewerten

Wie ist die Qualität der heruntergeladenen Dateien?

Datei:

PDF, 574 KB

IPFS:

,

0

Online lesen

Die Konvertierung in ist im Gange

Die Konvertierung in ist fehlgeschlagen

Es kann für Sie interessant sein

Pooja Saigal — Support Vector Machines

Raymond S. Smith, Terry Windeatt (auth.), Jón Atli Benediktsson, Josef Kittler, Fabio Roli (eds.) — Multiple Classifier Systems: 8th International Workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009. Proceedings

Zhu J., Hastie T. — Classification of gene microarrays by penalized logistic regression

Yan-Qing Zhang; Jagath C. Rajapakse (Editors) — Machine Learning in Bioinformatics

Guyon Isabelle — Feature Extraction Foundations and Applications. Pattern Recognition

Alexander J. Smola, Peter Bartlett, Bernhard Schölkopf, Dale Schuurmans (Editors) — Advances in Large Margin Classifiers

Berrar, Dubitzky, Granzow. — A practical approach to microarray data analysis

Rajapakse, Jagath Chandana; Zhang, Yan-Qing (ed.) — Machine learning in bioinformatics

Gustavo Camps-Valls, Professor Lorenzo Bruzzone — Kernel Methods for Remote Sensing Data Analysis

Andrew R. Webb — Statistical Pattern Recognition

Sumeet Dua, Pradeep Chowriappa — Data Mining for Bioinformatics

Thorsten Joachims (auth.) — Learning to classify text using support vector machines

Pooja Saigal — Support Vector Machines: Evolution and Applications

Oleg Okun, Lambros Skarlas — Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations

Vogel, Mia; Peters, Hannah — Machine learning research progress

De-Shuang Huang, Kyungsook Han, Michael Gromiha (eds.) — Intelligent Computing in Bioinformatics: 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings

Juan A. Hernández, Martha L. Mora, Emanuele Schiavi, Pablo Toharia (auth.), José María Barreiro, Fernando Martín-Sánchez, Víctor Maojo, Ferran Sanz (eds.) — Biological and Medical Data Analysis: 5th International Symposium, ISBMDA 2004, Barcelona, Spain, November 18-19, 2004. Proceedings

Fabio Roli (auth.), Nikunj C. Oza, Robi Polikar, Josef Kittler, Fabio Roli (eds.) — Multiple Classifier Systems: 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005. Proceedings

Fred A. (ed.), Caelli T. (ed.) — Structural, Syntactic, and Statistical Pattern Recognition: Joint Iapr International Workshops, Sspr 2004 and Spr 2004, Lisbon, Portugal, August 18-20, 2004 Proceedings

James C. Bezdek, Ludmila I. Kuncheva (auth.), Francesc J. Ferri, José M. Iñesta, Adnan Amin, Pavel Pudil (eds.) — Advances in Pattern Recognition: Joint IAPR International Workshops SSPR 2000 and SPR 2000 Alicante, Spain, August 30 – September 1, 2000 Proceedings

Simone Marinai, Friedhelm Schwenker, Lionel Prevost — Artificial Neural Networks In Pattern Recognition: Third Iapr Tc3 Workshop, Annpr 2008 Paris, France, July 2-4, 2008, Proceedings (lecture Notes In Computer Science)

Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin (auth.), Michal Haindl, Josef Kittler, Fabio Roli (eds.) — Multiple Classifier Systems: 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007. Proceedings

Said Hassan Ahmed, Tor Flå (auth.), Visakan Kadirkamanathan, Guido Sanguinetti, Mark Girolami, Mahesan Niranjan, Josselin Noirel (eds.) — Pattern Recognition in Bioinformatics: 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings

Yong Shi — Advances in Big Data Analytics: Theory, Algorithms and Practices

Yong Shi — Advances in Big Data Analytics: Theory, Algorithms and Practices

Sanghamitra Bandyopadhyay, Sanghamitra Bandyopadhyay — Analysis of Biological Data: A Soft Computing Approach

Amita Pal, Sankar K Pal — Pattern Recognition and Big Data

Am meisten angefragte Begriffe