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Volumn 2639, Issue , 2003, Pages 607-610

An improved parameter tuning method for support vector machines

Author keywords

Data mining; Support vector machine; Tuning parameter

Indexed keywords

FUZZY SETS; GRANULAR COMPUTING; ROUGH SET THEORY; SUPPORT VECTOR MACHINES; COMPUTATION THEORY; FUNCTIONS; VECTORS;

EID: 8344263859     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-39205-x_99     Document Type: Conference Paper
Times cited : (6)

References (6)
  • 4
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • [4] Chapelle O, Vapnik V and Bousquet O et al. Choosing multiple parameters for support vector machines. Machine Learning. 2002, 46: 131–159
    • (2002) Machine Learning , vol.46 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3
  • 5
    • 0031199597 scopus 로고    scopus 로고
    • A new penalty function algorithm for convex quadratic programming
    • [5] Ben-Daya M, Al-Sultan K.S. A new penalty function algorithm for convex quadratic programming. European Journal of Operational Research. 1997, 101(1): 155–163
    • (1997) European Journal of Operational Research , vol.101 , Issue.1 , pp. 155-163
    • Ben-Daya, M.1    Al-Sultan, K.S.2
  • 6
    • 84956699700 scopus 로고    scopus 로고
    • [6] Gunnar. http://ida.first.gmd.de/~raetsch/data/benchmarks.htm


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.