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Volumn 1, Issue , 2010, Pages 407-412

Adaptive transfer learning

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); LEARNING SYSTEMS;

EID: 77958532478     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (99)

References (13)
  • 1
    • 27844439373 scopus 로고    scopus 로고
    • A framework for learning pre-dictive structures from multiple tasks and unlabeled data.
    • Ando, R. K., and Zhang, T. 2005. A framework for learning pre-dictive structures from multiple tasks and unlabeled data. J. Mach. Learn. Res. 6.
    • (2005) J. Mach. Learn. Res. , vol.6
    • Ando, R.K.1    Zhang, T.2
  • 3
    • 85161977902 scopus 로고    scopus 로고
    • Multi-task gaussian process prediction
    • Platt, J.; Koller, D.; Singer, Y.; and Roweis, S., eds., MIT Press
    • Bonilla, E.; Chai, K. M.; and Williams, C. 2008. Multi-task gaussian process prediction. In Platt, J.; Koller, D.; Singer, Y.; and Roweis, S., eds., NIPS 20. MIT Press.
    • (2008) NIPS , vol.20
    • Bonilla, E.1    Chai, K.M.2    Williams, C.3
  • 7
    • 14344249890 scopus 로고    scopus 로고
    • Learning to learn with the informative vector machine
    • Banff, Alberta, Canada: ACM
    • Lawrence, N. D., and Platt, J. C. 2004. Learning to learn with the informative vector machine. In Proc. of the 21st ICML. Banff, Alberta, Canada: ACM.
    • (2004) Proc. of the 21st ICML
    • Lawrence, N.D.1    Platt, J.C.2
  • 8
    • 34547989609 scopus 로고    scopus 로고
    • Learning a meta-level prior for feature relevance from multiple related tasks
    • Corvalis, Oregon: ACM
    • Lee, S.-I.; Chatalbashev, V.; Vickrey, D.; and Koller, D. 2007. Learning a meta-level prior for feature relevance from multiple related tasks. In Proc. of the 24th ICML, 489-496. Corvalis, Oregon: ACM.
    • (2007) Proc. of the 24th ICML , pp. 489-496
    • Lee, S.-I.1    Chatalbashev, V.2    Vickrey, D.3    Koller, D.4
  • 9
    • 57349098579 scopus 로고    scopus 로고
    • Self-taught learning: Transfer learning from unlabeled data
    • New York, NY, USA: ACM
    • Raina, R.; Battle, A.; Lee, H.; Packer, B.; and Ng, A. Y. 2007. Self-taught learning: transfer learning from unlabeled data. In ICML'07. New York, NY, USA: ACM.
    • (2007) ICML'07
    • Raina, R.1    Battle, A.2    Lee, H.3    Packer, B.4    Ng, A.Y.5
  • 10
    • 33749240383 scopus 로고    scopus 로고
    • Constructing infor-mative priors using transfer learning
    • Pittsburgh, Pennsylvania: ACM
    • Raina, R.; Ng, A. Y.; and Roller, D. 2006. Constructing infor-mative priors using transfer learning. In Proc. of the 23rd ICML. Pittsburgh, Pennsylvania: ACM.
    • (2006) Proc. of the 23rd ICML
    • Raina, R.1    Ng, A.Y.2    Roller, D.3
  • 12
    • 84899006514 scopus 로고    scopus 로고
    • Learning gaussian process kernels via hierarchical bayes
    • Schwaighofer, A.; Tresp, V.; and Yu, K. 2005. Learning gaussian process kernels via hierarchical bayes. In NIPS 17.
    • (2005) NIPS , vol.17
    • Schwaighofer, A.1    Tresp, V.2    Yu, K.3
  • 13
    • 31844442664 scopus 로고    scopus 로고
    • Learning gaussian processes from multiple tasks
    • Bonn, Germany: ACM
    • Yu, K.; Tresp, V.; and Schwaighofer, A. 2005. Learning gaussian processes from multiple tasks. In Proc. of the 22nd ICML. Bonn, Germany: ACM.
    • (2005) Proc. of the 22nd ICML
    • Yu, K.1    Tresp, V.2    Schwaighofer, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.