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Volumn 1, Issue , 2012, Pages 1-8

Bayesian efficient multiple kernel learning

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN APPROACHES; BAYESIAN FORMULATION; BENCHMARK DATA; DATA SETS; DATA SOURCE; FEATURE REPRESENTATION; GENERALIZATION PERFORMANCE; INFERENCE METHODS; MULTI-CLASS; MULTIPLE KERNEL LEARNING; SEMI-SUPERVISED LEARNING; SIMILARITY MEASURE; TIME COMPLEXITY; VARIATIONAL APPROXIMATION;

EID: 84867129730     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (70)

References (24)
  • 5
    • 43349094032 scopus 로고    scopus 로고
    • Probabilistic multiclass multi-kernel learning: On protein fold recognition and remote homology detection
    • Damoulas, T. and Girolami, M. A. Probabilistic multiclass multi-kernel learning: On protein fold recognition and remote homology detection. Bioinformatics, 24(10): 1264-1270, 2008.
    • (2008) Bioinformatics , vol.24 , Issue.10 , pp. 1264-1270
    • Damoulas, T.1    Girolami, M.A.2
  • 9
    • 84864066685 scopus 로고    scopus 로고
    • Data integration for classification problems employing Gaussian process priors
    • Girolami, M. and Zhong, M. Data integration for classification problems employing Gaussian process priors. In Advances in Neural Processing Systems 19, 2007.
    • (2007) Advances in Neural Processing Systems , vol.19
    • Girolami, M.1    Zhong, M.2
  • 16
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • Tipping, M. E. Sparse Bayesian learning and the relevance vector machine. Journal of Machine Learning Research, 1:211-244, 2001.
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 211-244
    • Tipping, M.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.