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Volumn 9, Issue , 2010, Pages 613-620

Infinite predictor subspace models for multitask learning

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE MODELS; LEARNING TASKS; MIXTURE OF LINEAR SUBSPACES; MULTITASK LEARNING; NON-PARAMETRIC; NON-PARAMETRIC BAYESIAN; NONLINEAR MANIFOLDS; PARAMETER SUBSPACE; SUBSPACE MODELS; TASK RELATEDNESS;

EID: 84862271988     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (54)

References (28)
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    • Ando, R.K.1    Zhang, T.2
  • 2
    • 0000708831 scopus 로고
    • Mixtures of dirichlet processes with applications to bayesian nonparametric problems
    • Antoniak, C. E. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems. The Annals of Statistics, 2(6), 1974.
    • (1974) The Annals of Statistics , vol.2 , pp. 6
    • Antoniak, C.E.1
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    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • Caruana, R. Multitask Learning. Machine Learning, 28 (1):41-75, 1997.
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    • Caruana, R.1
  • 10
    • 84862283175 scopus 로고    scopus 로고
    • Accelerated gibbs sampling for the indian buffet process
    • Doshi, F. and Ghahramani, Z. Accelerated Gibbs Sampling for the Indian Buffet Process. In ICML, 2009.
    • (2009) ICML
    • Doshi, F.1    Ghahramani, Z.2
  • 14
    • 0005274268 scopus 로고    scopus 로고
    • Empirical Bayes for learning to learn
    • Heskes, T. Empirical Bayes for Learning to Learn. In Proc. of the 17th ICML, 2000.
    • (2000) Proc. of the 17th ICML
    • Heskes, T.1
  • 26
    • 0002542108 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yang, Y. An Evaluation of Statistical Approaches to Text Categorization. Journal of Information Retrieval, 1:67-88, 1997.
    • (1997) Journal of Information Retrieval , vol.1 , pp. 67-88
    • Yang, Y.1
  • 28
    • 55149096818 scopus 로고    scopus 로고
    • Flexible latent variable models for multi-task learning
    • Zhang, J., Ghahramani, Z., and Yang, Y. Flexible Latent Variable Models for Multi-task Learning. Machine Learning Journal, 73(3), 2008.
    • (2008) Machine Learning Journal , vol.73 , pp. 3
    • Zhang, J.1    Ghahramani, Z.2    Yang, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.