메뉴 건너뛰기




Volumn , Issue , 2009, Pages 1065-1072

More generality in efficient multiple kernel learning

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE SELECTION; FEATURE SELECTION PROBLEM; FILTER METHOD; GRADIENT DESCENT; KERNEL LEARNING; LARGE-SCALE OPTIMIZATION; LARGE-SCALE PROBLEM; LINEAR COMBINATIONS; MULTIPLE KERNEL LEARNING; OPTIMIZATION SCHEME; REAL-WORLD APPLICATION;

EID: 71149100224     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (350)

References (21)
  • 3
    • 84858766876 scopus 로고    scopus 로고
    • Exploring large feature spaces with hierarchical multiple kernel learning
    • Bach, F. R. (2008). Exploring large feature spaces with hierarchical multiple kernel learning. Advances in Neural Information Processing Systems (pp. 105-112).
    • (2008) Advances in Neural Information Processing Systems , pp. 105-112
    • Bach, F.R.1
  • 6
    • 12244300139 scopus 로고    scopus 로고
    • Column-generation boosting methods for mixture of kernels
    • Bi, J., Zhang, T., & Bennet, K. P. (2004). Column-generation boosting methods for mixture of kernels. Proc. SIGKDD (pp. 521-526).
    • (2004) Proc. SIGKDD , pp. 521-526
    • Bi, J.1    Zhang, T.2    Bennet, K.P.3
  • 8
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for Support Vector Machines
    • Chapelle, O., Vapnik, V., Bousquet, O., & Mukherjee, S. (2002). Choosing multiple parameters for Support Vector Machines. Machine Learning, 46, 131-159.
    • (2002) Machine Learning , vol.46 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 12
    • 3142615000 scopus 로고    scopus 로고
    • A feature selection newton method for support vector machine classification
    • 02-03, Univ. of Wisconsin
    • Fung, G., & Mangasarian, O. L. (2002). A feature selection newton method for support vector machine classification (Technical Report 02-03). Univ. of Wisconsin.
    • (2002) Technical Report
    • Fung, G.1    Mangasarian, O.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.