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Volumn 2415 LNCS, Issue , 2002, Pages 1345-1350

Automatic hyperparameter tuning for support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS;

EID: 56549103236     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46084-5_217     Document Type: Conference Paper
Times cited : (7)

References (12)
  • 1
    • 0034140341 scopus 로고    scopus 로고
    • Evaluating the generalization ability of support vector machines through the bootstrap
    • Anguita, D., Boni, A., Ridella, S.: Evaluating the Generalization Ability of Support Vector Machines through the Bootstrap. Neural Processing Letters 11 (2000) 51-58.
    • (2000) Neural Processing Letters , vol.11 , pp. 51-58
    • Anguita, D.1    Boni, A.2    Ridella, S.3
  • 4
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, C.: A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery 2 (1998) 121-167.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, C.1
  • 5
    • 34249753618 scopus 로고
    • Support vector networks
    • Cortes, C., Vapnik, V.: Support Vector Networks. Machine Learning 20 (1995) 273-297.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 7
    • 0036163654 scopus 로고    scopus 로고
    • Convergence of a generalized SMO algorithm for SVM classifier design
    • Keerthi, S.S., Gilbert, E.G.: Convergence of a Generalized SMO Algorithm for SVM Classifier Design. Machine Learning 46 (2002) 351-360.
    • (2002) Machine Learning , vol.46 , pp. 351-360
    • Keerthi, S.S.1    Gilbert, E.G.2
  • 10
    • 0034241362 scopus 로고    scopus 로고
    • Measuring the VC-dimension using optimized experimental design
    • Shao, X., Cherkassky, V., Li, W.: Measuring the VC-dimension Using Optimized Experimental Design. Neural Computation 12 (2000) 1969-1986.
    • (2000) Neural Computation , vol.12 , pp. 1969-1986
    • Shao, X.1    Cherkassky, V.2    Li, W.3
  • 11
    • 0001205879 scopus 로고
    • Measuring the VC-dimension of a learning machine
    • Vapnik, V., Levin, E., Le Cunn, Y.: Measuring the VC-dimension of a Learning Machine. Neural Computation 6 (1994) 851-876.
    • (1994) Neural Computation , vol.6 , pp. 851-876
    • Vapnik, V.1    Levin, E.2    Le Cunn, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.