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Volumn 1, Issue January, 2014, Pages 37-45

Robust classification under sample selection bias

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; INFORMATION SCIENCE; LEARNING SYSTEMS;

EID: 84937896443     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (127)

References (26)
  • 1
    • 0037527188 scopus 로고    scopus 로고
    • Improving predictive inference under covariate shift by weighting the log-likelihood function
    • Hidetoshi Shimodaira. Improving predictive inference under covariate shift by weighting the log-likelihood 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
  • 4
    • 0002591570 scopus 로고
    • Information theoretical optimization techniques
    • Flemming Topsøe. Information theoretical optimization techniques. Kybernetika, 15(1):8-27, 1979.
    • (1979) Kybernetika , vol.15 , Issue.1 , pp. 8-27
    • Topsøe, F.1
  • 5
    • 6344274901 scopus 로고    scopus 로고
    • Game theory, maximum entropy, minimum discrepancy, and robust Bayesian decision theory
    • Peter D. Grünwald and A. Phillip Dawid. Game theory, maximum entropy, minimum discrepancy, and robust Bayesian decision theory. Annals of Statistics, 32:1367-1433, 2004.
    • (2004) Annals of Statistics , vol.32 , pp. 1367-1433
    • Grünwald, P.D.1    Phillip Dawid, A.2
  • 13
    • 84937955666 scopus 로고    scopus 로고
    • Robust learning under uncertain test distributions: Relating covariate shift to model misspecification
    • Junfeng Wen, Chun-Nam Yu, and Russ Greiner. Robust learning under uncertain test distributions: Relating covariate shift to model misspecification. In Proc. of the International Conference on Machine Learning, pages 631-639, 2014.
    • (2014) Proc. of the International Conference on Machine Learning , pp. 631-639
    • Wen, J.1    Yu, C.-N.2    Greiner, R.3
  • 15
    • 80052660213 scopus 로고    scopus 로고
    • An adversarial view of covariate shift and a minimax approach
    • Joaquin Quiñonero-Candela, Mashashi Sugiyama, Anton Schwaighofer, and Neil D. Lawrence, editors MIT Press, Cambridge, MA, USA
    • Amir Globerson, Choon Hui Teo, Alex Smola, and Sam Roweis. An adversarial view of covariate shift and a minimax approach. In Joaquin Quiñonero-Candela, Mashashi Sugiyama, Anton Schwaighofer, and Neil D. Lawrence, editors, Dataset Shift in Machine Learning, pages 179-198. MIT Press, Cambridge, MA, USA, 2009.
    • (2009) Dataset Shift in Machine Learning , pp. 179-198
    • Globerson, A.1    Teo, C.H.2    Smola, A.3    Roweis, S.4
  • 19
    • 11944266539 scopus 로고
    • Information theory and statistical mechanics
    • Edwin T. Jaynes. Information theory and statistical mechanics. Physical Review, 106:620-630, 1957.
    • (1957) Physical Review , vol.106 , pp. 620-630
    • Jaynes, E.T.1
  • 21
    • 65749118363 scopus 로고    scopus 로고
    • Graphical models, exponential families, and variational inference
    • Martin J. Wainwright and Michael I. Jordan. Graphical models, exponential families, and variational inference. Foundations and Trends in Machine Learning, 1(1-2):1-305, 2008.
    • (2008) Foundations and Trends in Machine Learning , vol.1 , Issue.1-2 , pp. 1-305
    • Wainwright, M.J.1    Jordan, M.I.2
  • 23
    • 33746050365 scopus 로고    scopus 로고
    • Maximum entropy distribution estimation with generalized regularization
    • Springer Berlin Heidelberg
    • Miroslav Dudík and Robert E. Schapire. Maximum entropy distribution estimation with generalized regularization. In Learning Theory, pages 123-138. Springer Berlin Heidelberg, 2006.
    • (2006) Learning Theory , pp. 123-138
    • Dudík, M.1    Schapire, R.E.2
  • 24
    • 33746060884 scopus 로고    scopus 로고
    • Unifying divergence minimization and statistical inference via convex duality
    • Springer Berlin Heidelberg
    • Yasemin Altun and Alex Smola. Unifying divergence minimization and statistical inference via convex duality. In Learning Theory, pages 139-153. Springer Berlin Heidelberg, 2006.
    • (2006) Learning Theory , pp. 139-153
    • Altun, Y.1    Smola, A.2
  • 26
    • 0000459353 scopus 로고    scopus 로고
    • The lack of a priori distinctions between learning algorithms
    • David H. Wolpert. The lack of a priori distinctions between learning algorithms. Neural Comput., 8(7):1341-1390, 1996.
    • (1996) Neural Comput. , vol.8 , Issue.7 , pp. 1341-1390
    • Wolpert, D.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.