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Volumn , Issue , 2008, Pages

Multi-task learning via conic programming

Author keywords

[No Author keywords available]

Indexed keywords

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EID: 85162043915     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (89)

References (11)
  • 2
    • 0033295981 scopus 로고    scopus 로고
    • CSDP, a C library for semidefinite programming
    • B. Borchers. CSDP, a C library for semidefinite programming. Optimization Methods and Software, 11(1):613-623, 1999.
    • (1999) Optimization Methods and Software , vol.11 , Issue.1 , pp. 613-623
    • Borchers, B.1
  • 4
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • R. Caruana. Multitask learning. Machine Learning, 28(1):41-75, 1997. (Pubitemid 127507169)
    • (1997) Machine Learning , vol.28 , Issue.1 , pp. 41-75
    • Caruana, R.1
  • 8
    • 84898994209 scopus 로고    scopus 로고
    • Kernels for multi-task learning
    • Lawrence K. Saul, YairWeiss, and Léon Bottou, editors, Cambridge, MA. MIT Press
    • C. A. Micchelli and M. Pontil. Kernels for multi-task learning. In Lawrence K. Saul, YairWeiss, and Léon Bottou, editors, Advances in Neural Information Processing Systems 17, pages 921-928, Cambridge, MA, 2005. MIT Press.
    • (2005) Advances in Neural Information Processing Systems , vol.17 , pp. 921-928
    • Micchelli, C.A.1    Pontil, M.2
  • 9
    • 85156208493 scopus 로고    scopus 로고
    • Ranking with large margin principle: Two approaches
    • Cambridge, MA. MIT Press
    • A. Shashua and A. Levin. Ranking with large margin principle: two approaches. In Advances in Neural Information Processing Systems 15, pages 937-944, Cambridge, MA, 2003. MIT Press.
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 937-944
    • Shashua, A.1    Levin, A.2
  • 10
    • 19544368196 scopus 로고    scopus 로고
    • Learning kernels from biological networks by maximizing entropy
    • DOI 10.1093/bioinformatics/bth906
    • K. Tsuda and W.S. Noble. Learning kernels from biological networks by maximizing entropy. Bioinformatics, 20(Suppl. 1):i326-i333, 2004. (Pubitemid 41296706)
    • (2004) Bioinformatics , vol.20 , Issue.SUPPL. 1
    • Tsuda, K.1    Noble, W.S.2
  • 11
    • 31844439885 scopus 로고    scopus 로고
    • Nonparametric transforms of graph kernels for semi-supervised learning
    • Lawrence K. Saul, YairWeiss, and Lon Bottou, editors, Cambridge, MA. MIT Press
    • X. Zhu, J. Kandola, Z. Ghahramani, and J. Lafferty. Nonparametric transforms of graph kernels for semi-supervised learning. In Lawrence K. Saul, YairWeiss, and Lon Bottou, editors, Advances in Neural Information Processing Systems 17, Cambridge, MA, 2004. MIT Press.
    • (2004) Advances in Neural Information Processing Systems , vol.17
    • Zhu, X.1    Kandola, J.2    Ghahramani, Z.3    Lafferty, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.