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Volumn 2191, Issue , 2001, Pages 277-282

Normalization in support vector machines

Author keywords

Feature space; Input space; Normalization; Optimal separating hyperplane; Support vector machines

Indexed keywords

GEOMETRY; PATTERN RECOGNITION; VECTOR SPACES; VECTORS;

EID: 84945276575     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45404-7_37     Document Type: Conference Paper
Times cited : (58)

References (8)
  • 3
    • 34249753618 scopus 로고
    • Machine Learning, Kluwer Academic Publishers
    • C. Cortes & V. Vapnik. Support-Vector Networks. Machine Learning, Kluwer Academic Publishers, 273-297, 1995.
    • (1995) Support-Vector Networks , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 8
    • 0034321873 scopus 로고    scopus 로고
    • On the Computational Power of Winner-Take-All
    • W. Maass. On the Computational Power of Winner-Take-All. Neural Computation 12, 2519-2535, 2000.
    • (2000) Neural Computation , vol.12 , pp. 2519-2535
    • Maass, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.