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Volumn , Issue , 2009, Pages 647-655

On the identifiability of the post-nonlinear causal model

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 80053155838     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (473)

References (16)
  • 1
    • 18844377665 scopus 로고    scopus 로고
    • Identifiability of postnonlinear mixtures
    • Achard, S., & Jutten, C. (2005). Identifiability of postnonlinear mixtures. IEEE Signal Processing Letters, 12, 423-426.
    • (2005) IEEE Signal Processing Letters , vol.12 , pp. 423-426
    • Achard, S.1    Jutten, C.2
  • 4
    • 85162060108 scopus 로고    scopus 로고
    • A kernel statistical test of independence
    • Cambridge, MA: MIT Press
    • Gretton, A., Fukumizu, K., Teo, C., Song, L., Schölkopf, B., & Smola, A. (2008). A kernel statistical test of independence. NIPS 20 (pp. 585-592). Cambridge, MA: MIT Press.
    • (2008) NIPS , vol.20 , pp. 585-592
    • Gretton, A.1    Fukumizu, K.2    Teo, C.3    Song, L.4    Schölkopf, B.5    Smola, A.6
  • 5
    • 84858789485 scopus 로고    scopus 로고
    • Nonlinear causal discovery with additive noise models
    • Vancouver, B.C., Canada
    • Hoyer, P., Janzing, D., Mooji, J., Peters, J., & Schölkopf, B. (2009). Nonlinear causal discovery with additive noise models. NIPS 21. Vancouver, B.C., Canada.
    • (2009) NIPS , vol.21
    • Hoyer, P.1    Janzing, D.2    Mooji, J.3    Peters, J.4    Schölkopf, B.5
  • 7
    • 0011124306 scopus 로고    scopus 로고
    • Factorizing multivariate function classes
    • Cambridge, MA: MIT Press
    • Lin, J. (1998). Factorizing multivariate function classes. NIPS 10 (pp. 563-569). Cambridge, MA: MIT Press.
    • (1998) NIPS , vol.10 , pp. 563-569
    • Lin, J.1
  • 14
    • 40649092250 scopus 로고    scopus 로고
    • Causal reasoning by evaluating the complexity of conditional densities with kernel methods
    • Sun, X., Janzing, D., & Schölkopf, B. (2008). Causal reasoning by evaluating the complexity of conditional densities with kernel methods. Neurocomputing, 71, 1248-1256.
    • (2008) Neurocomputing , vol.71 , pp. 1248-1256
    • Sun, X.1    Janzing, D.2    Schölkopf, B.3
  • 16
    • 79955847294 scopus 로고    scopus 로고
    • Distinguishing causes from effects using nonlinear acyclic causal models
    • Presented at, Workshop on Causality
    • Boston, MA: Morgan Kaufmann. Zhang, K., & Hyvärinen, A. (2008). Distinguishing causes from effects using nonlinear acyclic causal models. Presented at NIPS 2008 Workshop on Causality. URL http://www.cs.helsinki.fi/u/ ahyvarin/papers/Zhang09NIPSworkshop.pdf.
    • (2008) NIPS 2008
    • Zhang, K.1    Hyvärinen, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.