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Volumn , Issue , 2009, Pages 137-144

A convex formulation for learning shared structures from multiple tasks

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATA; CONVEX RELAXATION; FEATURE REPRESENTATION; GENERALIZATION PERFORMANCE; GLOBAL OPTIMUM; LARGE DATASETS; MULTIPLE TASKS; MULTITASK LEARNING; OPTIMAL SOLUTIONS; STRUCTURE OPTIMIZATION;

EID: 71149094644     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (133)

References (26)
  • 1
  • 3
    • 27844439373 scopus 로고    scopus 로고
    • A framework for learning predictive structures from multiple tasks and unlabeled data
    • Ando, R. K., & Zhang, T. (2005). A framework for learning predictive structures from multiple tasks and unlabeled data. J. Mach. Learn. Res., 6, 1817-1853.
    • (2005) J. Mach. Learn. Res , vol.6 , pp. 1817-1853
    • Ando, R.K.1    Zhang, T.2
  • 4
    • 55149088329 scopus 로고    scopus 로고
    • Convex multi-task feature learning
    • Argyriou, A., Evgeniou, T., & Pontil, M. (2008). Convex multi-task feature learning. Mach. Learn., 73, 243-272.
    • (2008) Mach. Learn , vol.73 , pp. 243-272
    • Argyriou, A.1    Evgeniou, T.2    Pontil, M.3
  • 6
    • 0346238931 scopus 로고    scopus 로고
    • Task clustering and gating for bayesian multitask learning
    • Bakker, B., & Heskes, T. (2003). Task clustering and gating for bayesian multitask learning. J. Mach. Learn. Res., 4, 83-99.
    • (2003) J. Mach. Learn. Res , vol.4 , pp. 83-99
    • Bakker, B.1    Heskes, T.2
  • 7
    • 14344277592 scopus 로고    scopus 로고
    • A model of inductive bias learning
    • Baxter, J. (2000). A model of inductive bias learning. J. Artif. Intell. Res., 12, 149-198.
    • (2000) J. Artif. Intell. Res , vol.12 , pp. 149-198
    • Baxter, J.1
  • 10
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • Caruana, R. (1997). Multitask learning. Mach. Learn., 28, 41-75.
    • (1997) Mach. Learn , vol.28 , pp. 41-75
    • Caruana, R.1
  • 17
    • 84876811202 scopus 로고    scopus 로고
    • Rcv1: A new benchmark collection for text categorization research
    • Lewis, D. D., Yang, Y., Rose, T. G., & Li, F. (2004). Rcv1: A new benchmark collection for text categorization research. J. Mach. Learn. Res., 5, 361-397.
    • (2004) J. Mach. Learn. Res , vol.5 , pp. 361-397
    • Lewis, D.D.1    Yang, Y.2    Rose, T.G.3    Li, F.4
  • 18
    • 34948865158 scopus 로고    scopus 로고
    • Multi-task feature selection
    • Technical report, Dept. of Statistics, UC Berkeley
    • Obozinski, G., Taskar, B., & Jordan, M. I. (2006). Multi-task feature selection. Technical report, Dept. of Statistics, UC Berkeley.
    • (2006)
    • Obozinski, G.1    Taskar, B.2    Jordan, M.I.3
  • 19
    • 34250080273 scopus 로고
    • Optimality conditions and duality theory for minimizing sums of the largest eigenvalues of symmetric matrics
    • Overton, M. L., & Womersley, R. S. (1993). Optimality conditions and duality theory for minimizing sums of the largest eigenvalues of symmetric matrics. Math. Program., 62, 321-357.
    • (1993) Math. Program , vol.62 , pp. 321-357
    • Overton, M.L.1    Womersley, R.S.2
  • 22
    • 84958141402 scopus 로고    scopus 로고
    • Parametric mixture models for multi-labeled text
    • Ueda, N., & Saito, K. (2002). Parametric mixture models for multi-labeled text. Adv. in Neural Info. Proc. Sys. (pp. 721-728).
    • (2002) Adv. in Neural Info. Proc. Sys , pp. 721-728
    • Ueda, N.1    Saito, K.2
  • 23
    • 33846487387 scopus 로고    scopus 로고
    • Multi-task learning for classification with dirichlet process priors
    • Xue, Y., Liao, X., Carin, L., & Krishnapuram, B. (2007). Multi-task learning for classification with dirichlet process priors. J. Mach. Learn. Res., 8, 35-63.
    • (2007) J. Mach. Learn. Res , vol.8 , pp. 35-63
    • Xue, Y.1    Liao, X.2    Carin, L.3    Krishnapuram, B.4
  • 24
  • 25
    • 34547975729 scopus 로고    scopus 로고
    • Robust multitask learning with t-processes
    • Yu, S., Tresp, V., & Yu, K. (2007). Robust multitask learning with t-processes. Int. Conf. on Mach. Learn. (pp. 1103-1110).
    • (2007) Int. Conf. on Mach. Learn , pp. 1103-1110
    • Yu, S.1    Tresp, V.2    Yu, K.3
  • 26
    • 79951845184 scopus 로고    scopus 로고
    • Learning multiple related tasks using latent independent component analysis
    • Zhang, J., Ghahramani, Z., & Yang, Y. (2005). Learning multiple related tasks using latent independent component analysis. Adv. in Neural Info. Proc. Sys.
    • (2005) Adv. in Neural Info. Proc. Sys
    • Zhang, J.1    Ghahramani, Z.2    Yang, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.