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Volumn , Issue , 2009, Pages 745-752

Clustered multi-task learning: A convex formulation

Author keywords

[No Author keywords available]

Indexed keywords

CONVEX OPTIMIZATION; LEARNING SYSTEMS; SUPERVISED LEARNING;

EID: 84858783652     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (392)

References (12)
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    • 85162020657 scopus 로고
    • volume 59 of CBMS-NSF Regional Conference Series in Applied Mathematics. SIAM, Philadelphia
    • G. Wahba. Spline Models for Observational Data, volume 59 of CBMS-NSF Regional Conference Series in Applied Mathematics. SIAM, Philadelphia, 1990.
    • (1990) Spline Models for Observational Data
    • Wahba, G.1
  • 2
    • 0001219859 scopus 로고
    • Regularization theory and neural networks architectures
    • F. Girosi, M. Jones, and T. Poggio. Regularization Theory and Neural Networks Architectures. Neural Comput., 7(2):219-269, 1995.
    • (1995) Neural Comput. , vol.7 , Issue.2 , pp. 219-269
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 3
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • R. Tibshirani. Regression shrinkage and selection via the lasso. J. Royal. Stat. Soc. B., 58:267-288, 1996.
    • (1996) J. Royal. Stat. Soc. B. , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 4
    • 0346238931 scopus 로고    scopus 로고
    • Task clustering and gating for bayesian multitask learning
    • B. Bakker and T. Heskes. Task clustering and gating for bayesian multitask learning. J. Mach. Learn. Res., 4:83-99, 2003.
    • (2003) J. Mach. Learn. Res. , vol.4 , pp. 83-99
    • Bakker, B.1    Heskes, T.2
  • 7
    • 84864063089 scopus 로고    scopus 로고
    • Multi-task feature learning
    • B. Schölkopf, J. Platt, and T. Hoffman, editors, Cambridge, MA. MIT Press
    • A. Argyriou, T. Evgeniou, and M. Pontil. Multi-task feature learning. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Adv. NIPS 19, pages 41-48, Cambridge, MA, 2007. MIT Press.
    • (2007) Adv. NIPS , vol.19 , pp. 41-48
    • Argyriou, A.1    Evgeniou, T.2    Pontil, M.3
  • 11
    • 34547653712 scopus 로고    scopus 로고
    • Leveraging information across HLA alleles/supertypes improves epitope prediction
    • DOI 10.1089/cmb.2007.R013
    • D. Heckerman, D. Kadie, and J. Listgarten. Leveraging information across HLA alleles/supertypes improves epitope prediction. J. Comput. Biol., 14(6):736-746, 2007. (Pubitemid 47221814)
    • (2007) Journal of Computational Biology , vol.14 , Issue.6 , pp. 736-746
    • Heckerman, D.1    Kadie, C.2    Listgarten, J.3
  • 12
    • 38849139819 scopus 로고    scopus 로고
    • Efficient peptide-MHC-I binding prediction for alleles with few known binders
    • DOI 10.1093/bioinformatics/btm611
    • L. Jacob and J.-P. Vert. Efficient peptide-MHC-I binding prediction for alleles with few known binders. Bioinformatics, 24(3):358-366, Feb 2008. (Pubitemid 351189011)
    • (2008) Bioinformatics , vol.24 , Issue.3 , pp. 358-366
    • Jacob, L.1    Vert, J.-P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.