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Volumn , Issue , 2010, Pages 733-742

A convex formulation for learning task relationships in multi-task learning

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS;

EID: 80053162594     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (314)

References (27)
  • 2
    • 85162007328 scopus 로고    scopus 로고
    • A spectral regularization framework for multi-task structure learning
    • A. Argyriou, C. A. Micchelli, M. Pontil, and Y. Ying. A spectral regularization framework for multi-task structure learning. In NIPS 20, 2008.
    • (2008) NIPS , vol.20
    • Argyriou, A.1    Micchelli, C.A.2    Pontil, M.3    Ying, Y.4
  • 3
    • 56049114248 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. JMLR, 2003.
    • (2003) JMLR
    • Bakker, B.1    Heskes, T.2
  • 4
    • 0031187873 scopus 로고    scopus 로고
    • A Bayesian/information theoretic model of learning to learn via multiple task sampling
    • J. Baxter. A Bayesian/information theoretic model of learning to learn via multiple task sampling. MLJ, 1997.
    • (1997) MLJ
    • Baxter, J.1
  • 5
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • M. Belkin, P. Niyogi, and V. Sindhwani. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. JMLR, 2006.
    • (2006) JMLR
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 7
    • 85161977902 scopus 로고    scopus 로고
    • Multi-task Gaussian process prediction
    • E. Bonilla, K. M. A. Chai, and C. Williams. Multi-task Gaussian process prediction. In NIPS 20, 2008.
    • (2008) NIPS , vol.20
    • Bonilla, E.1    Chai, K.M.A.2    Williams, C.3
  • 9
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • R. Caruana. Multitask learning. MLJ, 1997.
    • (1997) MLJ
    • Caruana, R.1
  • 10
    • 80053150111 scopus 로고    scopus 로고
    • Modeling transfer relationships between learning tasks for improved inductive transfer
    • E. Eaton, M. desJardins, and T. Lane. Modeling transfer relationships between learning tasks for improved inductive transfer. In ECMLPKDD, 2008.
    • (2008) ECMLPKDD
    • Eaton, E.1    Desjardins, M.2    Lane, T.3
  • 11
    • 21844456299 scopus 로고    scopus 로고
    • Learning multiple tasks with kernel methods
    • T. Evgeniou, C. A. Micchelli, and M. Pontil. Learning multiple tasks with kernel methods. JMLR, 2005.
    • (2005) JMLR
    • Evgeniou, T.1    Micchelli, C.A.2    Pontil, M.3
  • 12
    • 12244250351 scopus 로고    scopus 로고
    • Regularized multi-task learning
    • T. Evgeniou and M. Pontil. Regularized multi-task learning. In SIGKDD, 2004.
    • (2004) SIGKDD
    • Evgeniou, T.1    Pontil, M.2
  • 15
    • 80053148229 scopus 로고    scopus 로고
    • Bayesian multitask learning with latent hierarchies
    • H. Daumé III. Bayesian multitask learning with latent hierarchies. In UAI, 2009.
    • (2009) UAI
    • Daumé III, H.1
  • 16
    • 84858783652 scopus 로고    scopus 로고
    • Clustered multi-task learning: A convex formulation
    • L. Jacob, F. Bach, and J.-P. Vert. Clustered multi-task learning: a convex formulation. In NIPS 21, 2009.
    • (2009) NIPS , vol.21
    • Jacob, L.1    Bach, F.2    Vert, J.-P.3
  • 17
    • 85162043915 scopus 로고    scopus 로고
    • Multi-task learning via conic programming
    • T. Kato, H. Kashima, M. Sugiyama, and K. Asai. Multi-task learning via conic programming. In NIPS 20, 2008.
    • (2008) NIPS , vol.20
    • Kato, T.1    Kashima, H.2    Sugiyama, M.3    Asai, K.4
  • 19
    • 33749242989 scopus 로고    scopus 로고
    • Personalized handwriting recognition via biased regularization
    • W. Kienzle and K. Chellapilla. Personalized handwriting recognition via biased regularization. In ICML, 2006.
    • (2006) ICML
    • Kienzle, W.1    Chellapilla, K.2
  • 20
    • 80053145416 scopus 로고    scopus 로고
    • Multi-task feature learning via efficient L2,1-norm minimization
    • J. Liu, S. Ji, and J. Ye. Multi-task feature learning via efficient L2,1-norm minimization. In UAI, 2009.
    • (2009) UAI
    • Liu, J.1    Ji, S.2    Ye, J.3
  • 23
    • 33749240383 scopus 로고    scopus 로고
    • Constructing informative priors using transfer learning
    • R. Raina, A. Y. Ng, and D. Koller. Constructing informative priors using transfer learning. In ICML, 2006.
    • (2006) ICML
    • Raina, R.1    Ng, A.Y.2    Koller, D.3
  • 24
    • 0041494227 scopus 로고    scopus 로고
    • Is learning the n-th thing any easier than learning the first?
    • S. Thrun. Is learning the n-th thing any easier than learning the first? In NIPS 8, 1996.
    • (1996) NIPS , vol.8
    • Thrun, S.1
  • 25
    • 0042496037 scopus 로고    scopus 로고
    • Discovering structure in multiple learning tasks: The TC algorithm
    • S. Thrun and J. O'Sullivan. Discovering structure in multiple learning tasks: The TC algorithm. In ICML, 1996.
    • (1996) ICML
    • Thrun, S.1    O'sullivan, J.2
  • 26
    • 33846487387 scopus 로고    scopus 로고
    • Multitask learning for classification with Dirichlet process priors
    • Y. Xue, X. Liao, L. Carin, and B. Krishnapuram. Multitask learning for classification with Dirichlet process priors. JMLR, 2007.
    • (2007) JMLR
    • Xue, Y.1    Liao, X.2    Carin, L.3    Krishnapuram, B.4
  • 27
    • 80052689284 scopus 로고    scopus 로고
    • Multi-task learning using generalized t process
    • Y. Zhang and D.-Y. Yeung. Multi-task learning using generalized t process. In AISTATS, 2010.
    • (2010) AISTATS
    • Zhang, Y.1    Yeung, D.-Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.