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Volumn 4065 LNAI, Issue , 2006, Pages 297-309

Learning the reasons why groups of consumers prefer some food products

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSUMER PRODUCTS; FEATURE EXTRACTION; LEARNING SYSTEMS; MARKETING; MEATS;

EID: 33746387905     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11790853_24     Document Type: Conference Paper
Times cited : (1)

References (19)
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    • 0036532753 scopus 로고    scopus 로고
    • A new nonparametric pairwise clustering algorithm based on iterative estimation of distance profiles
    • Dubnov, S., El-Yaniv, R., Gdalyahu, Y., Schneidman, E., Tishby, N., Yona, G.: A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles. Machine Learning, 47 (2002) 35-61.
    • (2002) Machine Learning , vol.47 , pp. 35-61
    • Dubnov, S.1    El-Yaniv, R.2    Gdalyahu, Y.3    Schneidman, E.4    Tishby, N.5    Yona, G.6
  • 9
    • 0008371352 scopus 로고    scopus 로고
    • Large margin rank boundaries for ordinal regression
    • A. Smola, P. Bartlett, B. Scholkopf, and D. Schuurmans, editors, MIT Press, Cambridge, MA.
    • Herbrich, R., Graepel, T., Obermayer, K.: Large margin rank boundaries for ordinal regression. In A. Smola, P. Bartlett, B. Scholkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, MIT Press, Cambridge, MA. (2000) 115-132.
    • (2000) Advances in Large Margin Classifiers , pp. 115-132
    • Herbrich, R.1    Graepel, T.2    Obermayer, K.3
  • 13
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon, I., Weston, J., Barnhill, S., & Vapnik, V.: Gene selection for cancer classification using support vector machines. Machine Learning, 46 (2002) 389-422.
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 19
    • 0002714543 scopus 로고    scopus 로고
    • Making large-Scale SVM learning practical
    • B. Schölkopf and C. Burges and A. Smola (ed.), MIT-Press
    • Joachims, T.. Making large-Scale SVM Learning Practical. Advances in Kernel Methods - Support Vector Learning, B. Schölkopf and C. Burges and A. Smola (ed.), MIT-Press, (1999).
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.