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Volumn 10, Issue 2, 2013, Pages 443-450

A new multi-class support vector algorithm based on privileged information

Author keywords

Correcting function; Multi classification; Privileged information; Support vector machine

Indexed keywords

BINARY INFORMATION; CORRECTING FUNCTION; LEARNING PARADIGMS; MULTI-CLASS; MULTI-CLASSIFICATION; PRACTICAL PROBLEMS; PRIVILEGED INFORMATION; SUPPORT VECTOR ALGORITHMS; TRAINING SAMPLE;

EID: 84874512242     PISSN: 15487741     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (11)

References (9)
  • 1
    • 68149165759 scopus 로고    scopus 로고
    • A new learning paradigm: Learning using privileged information
    • V. Vapnik, A. Vashist, A new learning paradigm: Learning using privileged information, Neural Networks, 22(5-6), 2009, 544-557
    • (2009) Neural Networks , vol.22 , Issue.5-6 , pp. 544-557
    • Vapnik, V.1    Vashist, A.2
  • 6
    • 0036568032 scopus 로고    scopus 로고
    • On the learnability and design of output codes for multiclass problems
    • K. Crammer, Y. Singer, On the learnability and design of output codes for multiclass problems, Machine Learning, 47 (2002), 201-233
    • (2002) Machine Learning , vol.47 , pp. 201-233
    • Crammer, K.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.