메뉴 건너뛰기




Volumn 28, Issue 12, 2007, Pages 1438-1444

Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark

Author keywords

Benchmark; Challenge; Classification; Curriculum; Feature selection; Machine learning; Matlab

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPETITIVE INTELLIGENCE; DATA REDUCTION; DATA TRANSFER; FEATURE EXTRACTION; LEARNING SYSTEMS;

EID: 34250885083     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2007.02.014     Document Type: Article
Times cited : (91)

References (18)
  • 1
    • 34250799915 scopus 로고    scopus 로고
    • Amir Reza Saffari Azar Alamdari and Isabelle Guyon, 2006. Quick start guide for CLOP. Technical Report, May 2006. http://ymer.org/research/files/clop/QuickStartV1.0.pdf.
  • 2
    • 34250795270 scopus 로고    scopus 로고
    • Anon. Feature extraction course, ETH WS 2005/2006. http://clopinet.com/isabelle/Projects/ETH.
  • 5
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L. Random forests. Machine Learn. 45 1 (2001) 5-32. http://citeseer.ist.psu.edu/breiman01random.html
    • (2001) Machine Learn. , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 6
    • 34250819503 scopus 로고    scopus 로고
    • Chih-Chung Chang, Chih-Jen Lin, 2001. LIBSVM: A Library for Support Vector Machines. Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.
  • 7
    • 34250831139 scopus 로고    scopus 로고
    • Feature selection challenge. NIPS 2003. http://www.nipsfsc.ecs.soton.ac.uk.
  • 8
    • 0033569406 scopus 로고    scopus 로고
    • Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
    • Golub T.R., et al. Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science 286 (1999) 531-537
    • (1999) Science , vol.286 , pp. 531-537
    • Golub, T.R.1
  • 10
    • 34250818316 scopus 로고    scopus 로고
    • Isabelle Guyon, 2003. Design of experiments of the NIPS 2003 variable selection benchmark. Technical Report. http://www.nipsfsc.ecs.soton.ac.uk/papers/Datasets.pdf.
  • 11
    • 34250837653 scopus 로고    scopus 로고
    • Isabelle Guyon, 2005. Kernel ridge regression tutorial. Technical Report. http://clopinet.com/isabelle/Projects/ETH/KernelRidge.pdf.
  • 12
    • 34250875328 scopus 로고    scopus 로고
    • Isabelle Guyon, 2005. Naïve bayes algorithm in CLOP. Technical Report. http://clopinet.com/isabelle/Projects/ETH/NaiveBayesAlgorithm.pdf.
  • 13
    • 34250875931 scopus 로고    scopus 로고
    • Isabelle Guyon, et al. 2006. Feature selection with the CLOP package. Technical Report. http://clopinet.com/isabelle/Projects/ETH/TM-fextract-class.pdf.
  • 14
    • 34250864084 scopus 로고    scopus 로고
    • Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror, 2004. Result analysis of the NIPS 2003 feature selection challenge. In: NIPS. http://books.nips.cc/papers/files/nips17/NIPS2004_0194.pdf.
  • 16
    • 34250805015 scopus 로고    scopus 로고
    • Performance prediction challenge. WCCI 2006. http://www.modelselect.inf.ethz.ch.
  • 17
  • 18
    • 34250797042 scopus 로고    scopus 로고
    • Weston, J., Elisseeff, A., BakIr, G., Sinz, F., 2005. The Spider Machine Learning Toolbox. http://www.kyb.tuebingen.mpg.de/bs/people/spider.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.