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Volumn , Issue , 2013, Pages 301-310

Discovering cyclic causal models with latent variables: A general SAT-based procedure

Author keywords

[No Author keywords available]

Indexed keywords

BACK-GROUND KNOWLEDGE; BOOLEAN SATISFIABILITY; CAUSAL MODEL; CONSTRAINT-BASED; DISCOVERY ALGORITHM; FEED-BACK LOOP; LATENT VARIABLE; LOGICAL REPRESENTATIONS;

EID: 84888160038     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (61)

References (29)
  • 2
    • 84887070785 scopus 로고    scopus 로고
    • A constraint-based approach to incorporate prior knowledge in causal models
    • Borboudakis, G., Triantafilou, S., Lagani, V., and Tsamardinos, I. (2011). A constraint-based approach to incorporate prior knowledge in causal models. In Proc. ESANN, pages 321-326.
    • (2011) Proc. ESANN , pp. 321-326
    • Borboudakis, G.1    Triantafilou, S.2    Lagani, V.3    Tsamardinos, I.4
  • 3
    • 84888194311 scopus 로고    scopus 로고
    • Incorporating causal prior knowledge as path-constraints in Bayesian networks and maximal ancestral graphs
    • Borboudakis, G. and Tsamardinos, I. (2012). Incorporating causal prior knowledge as path-constraints in bayesian networks and maximal ancestral graphs. In Proc. ICML, pages 1799-1806.
    • (2012) Proc. ICML , pp. 1799-1806
    • Borboudakis, G.1    Tsamardinos, I.2
  • 4
    • 80053140591 scopus 로고    scopus 로고
    • Causal discovery discovery in multiple models from different experiments
    • Claassen, T. and Heskes, T. (2010). Causal discovery discovery in multiple models from different experiments. In Proc. NIPS, pages 415-423.
    • (2010) Proc. NIPS , pp. 415-423
    • Claassen, T.1    Heskes, T.2
  • 5
    • 4444262244 scopus 로고    scopus 로고
    • Temporal induction by incremental SAT solving
    • Eén, N. and Sörensson, N. (2003). Temporal induction by incremental SAT solving. Electr. Notes Theor. Comput. Sci., 89(4): 543-560.
    • (2003) Electr. Notes Theor. Comput. Sci. , vol.89 , Issue.4 , pp. 543-560
    • Eén, N.1    Sörensson, N.2
  • 6
    • 30344450270 scopus 로고    scopus 로고
    • An extensible SAT-solver
    • Eén, N. and Sörensson, N. (2004). An extensible SAT-solver. In Proc. SAT 2003, pages 502-518.
    • (2004) Proc. SAT 2003 , pp. 502-518
    • Eén, N.1    Sörensson, N.2
  • 7
    • 84986959240 scopus 로고
    • Identifying independence in Bayesian networks
    • Geiger, D., Verma, T., and Pearl, J. (1990). Identifying independence in Bayesian networks. Networks, 20: 507-533.
    • (1990) Networks , vol.20 , pp. 507-533
    • Geiger, D.1    Verma, T.2    Pearl, J.3
  • 9
    • 84885965934 scopus 로고    scopus 로고
    • Causal discovery of linear cyclic models from multiple experimental data sets with overlapping variables
    • Hyttinen, A., Eberhardt, F., and Hoyer, P. O. (2012). Causal discovery of linear cyclic models from multiple experimental data sets with overlapping variables. In Proc. UAI, pages 387-396.
    • (2012) Proc. UAI , pp. 387-396
    • Hyttinen, A.1    Eberhardt, F.2    Hoyer, P.O.3
  • 10
    • 84861400735 scopus 로고    scopus 로고
    • The international SAT solver competitions
    • Järvisalo, M., Le Berre, D., Roussel, O., and Simon, L. (2012). The international SAT solver competitions. AI Magazine, 33(1): 89-92.
    • (2012) AI Magazine , vol.33 , Issue.1 , pp. 89-92
    • Järvisalo, M.1    Le Berre, D.2    Roussel, O.3    Simon, L.4
  • 11
    • 3543026188 scopus 로고    scopus 로고
    • Marginalizing and conditioning in graphical models
    • Koster, J. T. A. (2002). Marginalizing and conditioning in graphical models. Bernoulli, 8(6): 817-840.
    • (2002) Bernoulli , vol.8 , Issue.6 , pp. 817-840
    • Koster, J.T.A.1
  • 12
    • 84861685415 scopus 로고    scopus 로고
    • Learning from mixture of experimental data: A constraint-based approach
    • Lagani, V., Tsamardinos, I., and Triantafilou, S. (2012). Learning from mixture of experimental data: A constraint-based approach. In Proc. SETN, pages 124-131.
    • (2012) Proc. SETN , pp. 124-131
    • Lagani, V.1    Tsamardinos, I.2    Triantafilou, S.3
  • 13
    • 0032680865 scopus 로고    scopus 로고
    • GRASP: A search algorithm for propositional satisfiability
    • Marques-Silva, J. P. and Sakallah, K. A. (1999). GRASP: A search algorithm for propositional satisfiability. IEEE Trans. Computers, 48(5): 506-521.
    • (1999) IEEE Trans. Computers , vol.48 , Issue.5 , pp. 506-521
    • Marques-Silva, J.P.1    Sakallah, K.A.2
  • 15
    • 14344280491 scopus 로고    scopus 로고
    • On deducing conditional independence from d-separation in causal graphs with feedback
    • Neal, R. (2000). On deducing conditional independence from d-separation in causal graphs with feedback. Journal of Artificial Intelligence Research, 12: 87-91.
    • (2000) Journal of Artificial Intelligence Research , vol.12 , pp. 87-91
    • Neal, R.1
  • 17
    • 0013141899 scopus 로고    scopus 로고
    • Identifying independencies in causal graphs with feedback
    • Pearl, J. and Dechter, R. (1996). Identifying independencies in causal graphs with feedback. In Proc. UAI, pages 420-426.
    • (1996) Proc. UAI , pp. 420-426
    • Pearl, J.1    Dechter, R.2
  • 18
    • 84862292888 scopus 로고    scopus 로고
    • Identifying cause and effect on discrete data using additive noise models
    • Peters, J., Janzing, D., and Schölkopf, B. (2010). Identifying cause and effect on discrete data using additive noise models. In Proc. AISTATS, pages 597-604.
    • (2010) Proc. AISTATS , pp. 597-604
    • Peters, J.1    Janzing, D.2    Schölkopf, B.3
  • 19
    • 0012720970 scopus 로고    scopus 로고
    • Automated discovery of linear feedback models
    • Glymour, C. and Cooper, G. F., editors AAAI / MIT Press
    • Richardson, T. and Spirtes, P. (1999). Automated discovery of linear feedback models. In Glymour, C. and Cooper, G. F., editors, Computation, Causation & Discovery, pages 253-302. AAAI / MIT Press.
    • (1999) Computation, Causation & Discovery , pp. 253-302
    • Richardson, T.1    Spirtes, P.2
  • 21
    • 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 Proc. UAI, pages 487-495.
    • (2009) Proc. UAI , pp. 487-495
    • Schmidt, M.1    Murphy, K.2
  • 22
    • 0003263637 scopus 로고
    • Directed cyclic graphical representation of feedback models
    • Spirtes, P. (1995). Directed cyclic graphical representation of feedback models. In Proc. UAI, pages 491-498.
    • (1995) Proc. UAI , pp. 491-498
    • Spirtes, P.1
  • 24
    • 0042112503 scopus 로고    scopus 로고
    • An algorithm for causal inference in the presence of latent variables and selection bias
    • Glymour, C. and Cooper, G. F., editors AAAI / MIT Press
    • Spirtes, P., Meek, C., and Richardson, T. (1999). An algorithm for causal inference in the presence of latent variables and selection bias. In Glymour, C. and Cooper, G. F., editors, Computation, Causation & Discovery, pages 211-252. AAAI / MIT Press.
    • (1999) Computation, Causation & Discovery , pp. 211-252
    • Spirtes, P.1    Meek, C.2    Richardson, T.3
  • 25
    • 0002871673 scopus 로고    scopus 로고
    • Bayesian networks from the point of view of chain graphs
    • Studeńy, M. (1998). Bayesian networks from the point of view of chain graphs. In Proc. UAI, pages 496-503.
    • (1998) Proc. UAI , pp. 496-503
    • Studeńy, M.1
  • 26
    • 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 Proc. NIPS 2008, pages 1665-1672.
    • (2009) Proc. NIPS 2008 , pp. 1665-1672
    • Tillman, R.E.1    Danks, D.2    Glymour, C.3
  • 27
    • 84860667650 scopus 로고    scopus 로고
    • Learning causal structure from overlapping variable sets
    • Triantafillou, S., Tsamardinos, I., and Tollis, I. G. (2010). Learning causal structure from overlapping variable sets. In Proc. AISTATS, pages 860-867.
    • (2010) Proc. AISTATS , pp. 860-867
    • Triantafillou, S.1    Tsamardinos, I.2    Tollis, I.G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.