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Volumn 2, Issue , 2012, Pages 1255-1262

On causal and anticausal learning

Author keywords

[No Author keywords available]

Indexed keywords

CAUSAL MODEL; CONCEPT DRIFTS; COVARIATE SHIFTS; FUNCTION ESTIMATION; SEMI-SUPERVISED LEARNING; TRANSFER LEARNING;

EID: 84867113617     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (579)

References (19)
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    • 84867122021 scopus 로고    scopus 로고
    • http://pl.is.tue.mpg.de/p/causal-anticausal.
  • 5
    • 79951750541 scopus 로고    scopus 로고
    • An extensive empirical study on semi-supervised learning
    • Guo, Y., Niu, X., and Zhang, H. An extensive empirical study on semi-supervised learning. In ICDM, 2010.
    • (2010) ICDM
    • Guo, Y.1    Niu, X.2    Zhang, H.3
  • 7
    • 77956667205 scopus 로고    scopus 로고
    • Causal inference using the algorithmic Markov condition
    • Janzing, D. and Schölkopf, B. Causal inference using the algorithmic Markov condition. IEEE Transactions on Information Theory, 56(10):5168-5194, 2010.
    • (2010) IEEE Transactions on Information Theory , vol.56 , Issue.10 , pp. 5168-5194
    • Janzing, D.1    Schölkopf, B.2
  • 9
    • 13844277731 scopus 로고    scopus 로고
    • Storks deliver babies (p = 0.008)
    • Matthews, R. Storks deliver babies (p = 0.008). Teaching Statistics, 22(2):36-38, 2000.
    • (2000) Teaching Statistics , vol.22 , Issue.2 , pp. 36-38
    • Matthews, R.1
  • 10
    • 71149096052 scopus 로고    scopus 로고
    • Regression by dependence minimization and its application to causal inference in additive noise models
    • Mooij, J., Janzing, D., Peters, J., and Schölkopf, B. Regression by dependence minimization and its application to causal inference in additive noise models. In ICML, 2009.
    • (2009) ICML
    • Mooij, J.1    Janzing, D.2    Peters, J.3    Schölkopf, B.4
  • 12
    • 0004213845 scopus 로고    scopus 로고
    • Cambridge University Press
    • Pearl, J. Causality. Cambridge University Press, 2000.
    • (2000) Causality
    • Pearl, J.1
  • 15
    • 70049090801 scopus 로고    scopus 로고
    • An empirical analysis of domain adaptation algorithms for genomic sequence analysis
    • Schweikert, G., Widmer, C., Schölkopf, B., and Rätsch, G. An empirical analysis of domain adaptation algorithms for genomic sequence analysis. In NIPS, 2009.
    • (2009) NIPS
    • Schweikert, G.1    Widmer, C.2    Schölkopf, B.3    Rätsch, G.4
  • 17
    • 80052700798 scopus 로고    scopus 로고
    • When training and test sets are different: Characterizing learning transfer
    • MIT Press
    • Storkey, A. When training and test sets are different: characterizing learning transfer. In Dataset Shift in Machine Learning. MIT Press, 2009.
    • (2009) Dataset Shift in Machine Learning
    • Storkey, A.1
  • 19
    • 80053155838 scopus 로고    scopus 로고
    • On the identifiability of the post-nonlinear causal model
    • Zhang, K. and Hyvärinen, A. On the identifiability of the post-nonlinear causal model. In UAI, 2009.
    • (2009) UAI
    • Zhang, K.1    Hyvärinen, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.