Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark
- Author
- GUYON, Isabelle1 ; JIWEN LI2 ; MADER, Theodor1 ; PLETSCHER, Patrick A1 ; SCHNEIDER, Georg1 ; UHR, Markus1
[1] Pattern Analysis and Machine Learning Group, Institute of Computational Science, ETH Zurich, Universitaetstrasse 6, 8092 Zurich, Switzerland
[2] Department of Informatics. University of Zurich, Binzmuhlestrasse 14, 8050 Zurich, Switzerland - Source
Pattern recognition letters. 2007, Vol 28, Num 12, pp 1438-1444, 7 p ; ref : 1/2 p
- CODEN
- PRLEDG
- ISSN
- 0167-8655
- Scientific domain
- Computer science; Telecommunications
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Benchmark Challenge Classification Curriculum Feature selection Machine learning Matlab
- Keyword (fr)
- Apprentissage Evaluation performance Extraction caractéristique Implémentation Marché concurrentiel Protocole HTTP Traitement signal Ligne de base
- Keyword (en)
- Learning Performance evaluation Feature extraction Implementation Open market HTTP Signal processing Baseline
- Keyword (es)
- Aprendizaje Evaluación prestación Implementación Libre mercado Protocolo HTTP Procesamiento señal
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05D Miscellaneous
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18893950
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.patrec.2007.02.014 
https://dx.doi.org/10.1016/j.patrec.2007.02.014
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