Dan Geiger,
an Israeli computer scientist, AI-researcher and Professor of Computer Science at Technion - Israel Institute of Technology. His main research is focused on the study of probabilistic models for intelligent systems, in particular, the study of Bayesian networks and their applications in Bioinformatics and in other domains.

Dan Geiger, Judea Pearl (1990). Logical and algorithmic properties of independence and their application to Bayesian networks. Annals of Mathematics and Artificial Intelligence, 2, pp. 165-178.

Dan Geiger, Azaria Paz, Judea Pearl (1993). Learning simple causal structures. International Journal of Intelligent Systems, 8, pp. 231-247.

Dan Geiger, Judea Pearl (1993). Logical and algorithmic properties of conditional independence and graphical models. Annals of Statistics, 21, pp. 2001-2021.

David Heckerman, Dan Geiger, Max Chickering (1995). Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. Machine Learning, 20, pp. 197-243, pdf

Home * People * Dan GeigerDan Geiger,an Israeli computer scientist, AI-researcher and Professor of Computer Science at Technion - Israel Institute of Technology. His main research is focused on the study of probabilistic models for intelligent systems, in particular, the study of Bayesian networks and their applications in Bioinformatics and in other domains.

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## Selected Publications

1989).Conditional independence and its representations.Kybernetica, 25 pp. 33-44.1990).Identifying independence in Bayesian networks. Networks, 20, pp. 507-534.1990). Logical and algorithmic properties of independence and their application to Bayesian networks. Annals of Mathematics and Artificial Intelligence, 2, pp. 165-178.1993).Learning simple causal structures. International Journal of Intelligent Systems, 8, pp. 231-247.1993).Logical and algorithmic properties of conditional independence and graphical models.Annals of Statistics, 21, pp. 2001-2021.1995).Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. Machine Learning, 20, pp. 197-243, pdf1995).On finding a cycle basis with a shortest maximal cycle.Information Processing Letters, 54. pp. 55-58, pdf1996).Knowledge representation and inference in similarity networks and Bayesian multinets. Artificial Intelligence, Vol. 82, pp. 1-30## External Links

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