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A Learning Algorithm for Multi-Agent Causal Models.

S. Meganck, S. Maes, B. Manderick, and P. Leray. EUMAS, page 190-201. Koninklijke Vlaamse Academie van Belie voor Wetenschappen en Kunsten, (2005)

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Stijn Cleemput

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inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO.J. Taminau, D. Steenhoff, A. Coletta, S. Meganck, C. Lazar, V. de Schaetzen, R. Duque, C. Molter, H. Bersini, A. Nowé and 1 other author(s). Bioinform., 27 (22): 3204-3205 (2011)Towards an Integral Approach for Modeling Causality.S. Meganck. Vrije Universiteit Brussel, Belgium, (2008)Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach.S. Meganck, P. Leray, and B. Manderick. MDAI, volume 3885 of Lecture Notes in Computer Science, page 58-69. Springer, (2006)Causal Inference in Multi-Agent Causal Models.B. Manderick, S. Maes, and S. Meganck. EGC (Ateliers), volume E-5 of RNTI, page 73-76. Cépaduès-Éditions, (2005)Explaining Subgroups through Ontologies.A. Vavpetic, V. Podpecan, S. Meganck, and N. Lavrac. PRICAI, volume 7458 of Lecture Notes in Computer Science, page 625-636. Springer, (2012)Identification of Causal Effects in Multi-Agent Causal Models.S. Maes, S. Meganck, and B. Manderick. Artificial Intelligence and Applications, page 178-182. IASTED/ACTA Press, (2005)A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis.C. Lazar, J. Taminau, S. Meganck, D. Steenhoff, A. Coletta, C. Molter, V. de Schaetzen, R. Duque, H. Bersini, and A. Nowé. IEEE ACM Trans. Comput. Biol. Bioinform., 9 (4): 1106-1119 (2012)Identification in Chain Multi-Agent Causal Models.S. Maes, S. Meganck, and B. Manderick. FLAIRS, page 791-792. AAAI Press, (2005)Causal Graphical Models with Latent Variables: Learning and Inference.S. Meganck, P. Leray, and B. Manderick. ECSQARU, volume 4724 of Lecture Notes in Computer Science, page 5-16. Springer, (2007)Distributed learning of Multi-Agent Causal Models.S. Meganck, S. Maes, B. Manderick, and P. Leray. IAT, page 285-288. IEEE Computer Society, (2005)

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A Learning Algorithm for Multi-Agent Causal Models.

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Stijn Cleemput

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Learning Algorithm for Multi-Agent Causal Models.

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Stijn Cleemput

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A Learning Algorithm for Multi-Agent Causal Models.