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Volumn , Issue , 2008, Pages

A spectral regularization framework for multi-task structure learning

Author keywords

[No Author keywords available]

Indexed keywords

PROBLEM SOLVING;

EID: 85162007328     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (126)

References (19)
  • 2
    • 27844439373 scopus 로고    scopus 로고
    • A framework for learning predictive structures from multiple tasks and unlabeled data
    • R. K. Ando and T. Zhang. A framework for learning predictive structures from multiple tasks and unlabeled data. Journal of Machine Learning Research, 6:1817-1853, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1817-1853
    • Ando, R.K.1    Zhang, T.2
  • 5
    • 0346238931 scopus 로고    scopus 로고
    • Task clustering and gating for bayesian multi.task learning
    • B. Bakker and T. Heskes. Task clustering and gating for bayesian multi.task learning. Journal of Machine Learning Research, 4:83-99, 2003.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 83-99
    • Bakker, B.1    Heskes, T.2
  • 8
    • 33846593467 scopus 로고    scopus 로고
    • Sigma: A system for integrative genomic microarray analysis of cancer genomes
    • R. Chari, W.W. Lockwood, and B.P. Coe et al. Sigma: a system for integrative genomic microarray analysis of cancer genomes. BMC Genomics, 7:324, 2006.
    • (2006) BMC Genomics , vol.7 , pp. 324
    • Chari, R.1    Lockwood, W.W.2    Coe, B.P.3
  • 12
    • 0030521288 scopus 로고    scopus 로고
    • Hierarchical Bayes conjoint analysis: Recovery of partworth heterogeneity from reduced experimental designs
    • P. J. Lenk, W. S. DeSarbo, P. E. Green, and M. R. Young. Hierarchical Bayes conjoint analysis: recovery of partworth heterogeneity from reduced experimental designs. Marketing Science, 15(2):173-191, 1996.
    • (1996) Marketing Science , vol.15 , Issue.2 , pp. 173-191
    • Lenk, P.J.1    Desarbo, W.S.2    Green, P.E.3    Young, M.R.4
  • 14
    • 30744438843 scopus 로고    scopus 로고
    • Bounds for linear multi-task learning
    • A. Maurer. Bounds for linear multi-task learning. J. of Machine Learning Research, 7:117-139, 2006. (Pubitemid 43100916)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 117-139
    • Maurer, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.