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Volumn , Issue , 2010, Pages

Learning bounds for importance weighting

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[No Author keywords available]

Indexed keywords

SAMPLING;

EID: 85162073649     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (354)

References (29)
  • 2
    • 0042772702 scopus 로고    scopus 로고
    • Information measures: Information and its description in science and engineering
    • Springer Verlag
    • C. Arndt. Information Measures: Information and its Description in Science and Engineering. Signals and Communication Technology. Springer Verlag, 2004.
    • (2004) Signals and Communication Technology
    • Arndt, C.1
  • 4
    • 34250957557 scopus 로고
    • Sur l'extension du théorème limite du calcul des probabilités aux sommes de quantités dépendantes
    • S. N. Bernstein. Sur l'extension du théorème limite du calcul des probabilités aux sommes de quantités dépendantes. Mathematische Annalen, 97:1-59, 1927.
    • (1927) Mathematische Annalen , vol.97 , pp. 1-59
    • Bernstein, S.N.1
  • 5
    • 71149101362 scopus 로고    scopus 로고
    • Importance weighted active learning
    • New York, NY, USA
    • A. Beygelzimer, S. Dasgupta, and J. Langford. Importance weighted active learning. In ICML, pages 49-56, New York, NY, USA, 2009.
    • (2009) ICML , pp. 49-56
    • Beygelzimer, A.1    Dasgupta, S.2    Langford, J.3
  • 6
    • 34547994328 scopus 로고    scopus 로고
    • Discriminative learning for differing training and test distributions
    • S. Bickel, M. Brückner, and T. Scheffer. Discriminative learning for differing training and test distributions. In ICML, pages 81-88, 2007.
    • (2007) ICML , pp. 81-88
    • Bickel, S.1    Brückner, M.2    Scheffer, T.3
  • 9
    • 26944487498 scopus 로고    scopus 로고
    • Boosting with diverse base classifiers
    • S. Dasgupta and P. M. Long. Boosting with diverse base classifiers. In COLT, 2003.
    • (2003) COLT
    • Dasgupta, S.1    Long, P.M.2
  • 11
    • 34250648651 scopus 로고    scopus 로고
    • Correcting sample selection bias in maximum entropy density estimation
    • M. Dudík, R. E. Schapire, and S. J. Phillips. Correcting sample selection bias in maximum entropy density estimation. In NIPS, 2006.
    • (2006) NIPS
    • Dudík, M.1    Schapire, R.E.2    Phillips, S.J.3
  • 12
    • 0000085854 scopus 로고
    • A course on empirical processes
    • R. M. Dudley. A course on empirical processes. Lecture Notes in Math., 1097:2-142, 1984.
    • (1984) Lecture Notes in Math. , vol.1097 , pp. 2-142
    • Dudley, R.M.1
  • 13
    • 0001605679 scopus 로고
    • Universal Donsker classes andmetric entropy
    • R.M. Dudley. UniversalDonsker classes andmetric entropy. Annals of Probability, 14(4):1306-1326, 1987.
    • (1987) Annals of Probability , vol.14 , Issue.4 , pp. 1306-1326
    • Dudley, R.M.1
  • 14
    • 84867577175 scopus 로고    scopus 로고
    • The foundations of cost-sensitive learning
    • C. Elkan. The foundations of cost-sensitive learning. In IJCAI, pages 973-978, 2001.
    • (2001) IJCAI , pp. 973-978
    • Elkan, C.1
  • 15
    • 0002192516 scopus 로고
    • Decision theoretic generalizations of the PAC model for neural net and other learning applications
    • D. Haussler. Decision theoretic generalizations of the PAC model for neural net and other learning applications. Inf. Comput., 100(1):78-150, 1992.
    • (1992) Inf. Comput. , vol.100 , Issue.1 , pp. 78-150
    • Haussler, D.1
  • 16
    • 85151274557 scopus 로고    scopus 로고
    • Correcting sample selection bias by unlabeled data
    • J. Huang, A. J. Smola, A. Gretton, K. M. Borgwardt, and B. Schölkopf. Correcting sample selection bias by unlabeled data. In NIPS, volume 19, pages 601-608, 2006.
    • (2006) NIPS , vol.19 , pp. 601-608
    • Huang, J.1    Smola, A.J.2    Gretton, A.3    Borgwardt, K.M.4    Schölkopf, B.5
  • 17
    • 84860538689 scopus 로고    scopus 로고
    • Instance weighting for domain adaptation in NLP
    • J. Jiang and C. Zhai. InstanceWeighting for Domain Adaptation in NLP. In ACL, 2007.
    • (2007) ACL
    • Jiang, J.1    Zhai, C.2
  • 19
    • 84898072330 scopus 로고    scopus 로고
    • Domain adaptation: Learning bounds and algorithms
    • Y. Mansour,M. Mohri, and A. Rostamizadeh. Domain adaptation: Learning bounds and algorithms. In COLT, 2009.
    • (2009) COLT
    • Mansour, Y.1    Mohri, M.2    Rostamizadeh, A.3
  • 20
    • 84898061133 scopus 로고    scopus 로고
    • Empirical Bernstein bounds and sample-variance penalization
    • Montréal, Canada, June, Omnipress
    • A. Maurer and M. Pontil. Empirical bernstein bounds and sample-variance penalization. In COLT, Montréal, Canada, June 2009.Omnipress.
    • (2009) COLT
    • Maurer, A.1    Pontil, M.2
  • 22
    • 84972514302 scopus 로고
    • Asymptotics via empirical processes
    • D. Pollard. Asymptotics via empirical processes. Statistical Science, 4(4):341-366, 1989.
    • (1989) Statistical Science , vol.4 , Issue.4 , pp. 341-366
    • Pollard, D.1
  • 24
    • 0037527188 scopus 로고    scopus 로고
    • Improving predictive inference under covariate shift by weighting the loglikelihood function
    • H. Shimodaira. Improving predictive inference under covariate shift by weighting the loglikelihood function. Journal of Statistical Planning and Inference, 90(2):227-244, 2000.
    • (2000) Journal of Statistical Planning and Inference , vol.90 , Issue.2 , pp. 227-244
    • Shimodaira, H.1
  • 25
    • 85161964516 scopus 로고    scopus 로고
    • Direct importance estimation with model selection and its application to covariate shift adaptation
    • M. Sugiyama, S. Nakajima, H. Kashima, P. von Bünau, and M. Kawanabe. Direct importance estimation with model selection and its application to covariate shift adaptation. In NIPS, 2008.
    • (2008) NIPS
    • Sugiyama, M.1    Nakajima, S.2    Kashima, H.3    Von Bünau, P.4    Kawanabe, M.5
  • 28
    • 0003087344 scopus 로고
    • Various techniques used in connection with random digits. Monte Carlo methods
    • J. von Neumann. Various techniques used in connection with random digits. Monte Carlo methods. Nat. Bureau Standards, 12:36-38, 1951.
    • (1951) Nat. Bureau Standards , vol.12 , pp. 36-38
    • Von Neumann, J.1
  • 29
    • 33749245586 scopus 로고    scopus 로고
    • Cost-sensitive learning by cost-proportionate example weighting
    • B. Zadrozny, J. Langford, and N. Abe. Cost-sensitive learning by cost-proportionate example weighting. In ICDM, 2003.
    • (2003) ICDM
    • Zadrozny, B.1    Langford, J.2    Abe, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.