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Volumn , Issue , 2012, Pages 387-396

Causal discovery of linear cyclic models from multiple experimental data sets with overlapping variables

Author keywords

[No Author keywords available]

Indexed keywords

CAUSAL RELATIONSHIPS; FULL MODEL; GENERATING MODELS; NOVEL TECHNIQUES; OVERLAPPING DATA; RANDOMIZED EXPERIMENTS; SCIENTIFIC DATA; SECOND ORDER STATISTICS;

EID: 84885965934     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (20)
  • 2
    • 80053159201 scopus 로고    scopus 로고
    • A logical characterization of constraint-based causal discovery
    • Claassen, T. and Heskes, T. (2011). A logical characterization of constraint-based causal discovery. In UAI 2011.
    • (2011) UA
    • Claassen, T.1    Heskes, T.2
  • 4
    • 0007047929 scopus 로고    scopus 로고
    • Causal discovery from a mixture of experimental and observational data
    • Cooper, G. and Yoo, C. (1999). Causal discovery from a mixture of experimental and observational data. In UAI 1999.
    • (1999) UAI 1999
    • Cooper, G.1    Yoo, C.2
  • 5
    • 67649136789 scopus 로고    scopus 로고
    • Exact bayesian structure learning from uncertain interventions
    • Eaton, D. and Murphy, K. (2007). Exact Bayesian structure learning from uncertain interventions. In AISTATS 2007.
    • (2007) AISTATS 2007
    • Eaton, D.1    Murphy, K.2
  • 6
    • 80053161481 scopus 로고    scopus 로고
    • Combining experiments to discover linear cyclic models with latent variables
    • Eberhardt, F., Hoyer, P. O., and Scheines, R. (2010). Combining experiments to discover linear cyclic models with latent variables. In AISTATS 2010.
    • (2010) AISTATS 2010
    • Eberhardt, F.1    Hoyer, P.O.2    Scheines, R.3
  • 7
    • 57249084023 scopus 로고    scopus 로고
    • Active learning of causal networks with intervention experiments and optimal designs
    • He, Y. and Geng, Z. (2008). Active learning of causal networks with intervention experiments and optimal designs. Journal of Machine Learning Research, 9:2523-2547.
    • (2008) Journal of Machine Learning Research , vol.9 , pp. 2523-2547
    • He, Y.1    Geng, Z.2
  • 11
    • 70449113025 scopus 로고    scopus 로고
    • Solution theory for complete bilinear systems of equations
    • Johnson, C. R. and Link, J. A. (2009). Solution theory for complete bilinear systems of equations. Numerical Linear Algebra with Applications, 16(11-12):929-934.
    • (2009) Numerical Linear Algebra with Applications , vol.16 , Issue.11-12 , pp. 929-934
    • Johnson, C.R.1    Link, J.A.2
  • 14
    • 80053158637 scopus 로고    scopus 로고
    • Modeling discrete interventional data using directed cyclic graphical models
    • Schmidt, M. and Murphy, K. (2009). Modeling discrete interventional data using directed cyclic graphical models. In UAI 2009.
    • (2009) UAI 2009
    • Schmidt, M.1    Murphy, K.2
  • 15
    • 0041310561 scopus 로고
    • Minimal completely separating systems
    • Spencer, J. (1970). Minimal completely separating systems. Journal of Combinatorial Theory, 8(4):446-447.
    • (1970) Journal of Combinatorial Theory , vol.8 , Issue.4 , pp. 446-447
    • Spencer, J.1
  • 17
    • 84858758192 scopus 로고    scopus 로고
    • Integrating locally learned causal structures with overlapping variables
    • Tillman, R. E., Danks, D., and Glymour, C. (2009). Integrating locally learned causal structures with overlapping variables. In NIPS 2008.
    • (2009) NIPS 2008
    • Tillman, R.E.1    Danks, D.2    Glymour, C.3
  • 18
    • 84983140320 scopus 로고    scopus 로고
    • Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables
    • Tillman, R. E. and Spirtes, P. (2011). Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables. In AISTATS 2011.
    • (2011) AISTATS 2011
    • Tillman, R.E.1    Spirtes, P.2
  • 19
    • 84880880273 scopus 로고    scopus 로고
    • Active learning for structure in bayesian networks
    • Tong, S. and Koller, D. (2001). Active learning for structure in Bayesian networks. In UAI 2001.
    • (2001) UAI 2001
    • Tong, S.1    Koller, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.