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Volumn 9, Issue , 2010, Pages 597-604

Identifying cause and effect on discrete data using additive noise models

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS VARIABLES; DISCRETE DATA; DISCRETE VARIABLES; FINITE SAMPLES; JOINT DISTRIBUTIONS; SYNTHETIC AND REAL DATA;

EID: 84862292888     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (63)

References (20)
  • 2
    • 0012315692 scopus 로고    scopus 로고
    • A Bayesian approach to causal discovery
    • C. Glymour, & G. Cooper, eds. Cambridge, MA: MIT Press
    • Heckerman, D., Meek, C., & Cooper, G. (1999). A Bayesian approach to causal discovery. In C. Glymour, & G. Cooper, eds., Computation, Causation, and Discovery, 141-165. Cambridge, MA: MIT Press.
    • (1999) Computation, Causation, and Discovery , pp. 141-165
    • Heckerman, D.1    Meek, C.2    Cooper, G.3
  • 19
    • 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.