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. || toc =Selected Publications=
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 * [[image:geiger.JPG link="http://www.cs.technion.ac.il/%7Edang/"]] ||~  || **Dan Geiger**,
 * Dan Geiger ||~  ||^   ||
 * Judea Pearl, Dan Geiger, Tom Verma (**1989**). //Conditional independence and its representations.// Kybernetica, 25 pp. 33-44.
 * Dan Geiger, Thomas Verma, Judea Pearl (**1990**). //Identifying independence in Bayesian networks. Networks//, 20, pp. 507-534.
 * 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]
 * Max Chickering, Dan Geiger, David Heckerman (**1995**). //On finding a cycle basis with a shortest maximal cycle.// Information Processing Letters, 54. pp. 55-58, [|pdf]
 * Dan Geiger, David Heckerman (**1996**). //Knowledge representation and inference in similarity networks and Bayesian multinets//. [|Artificial Intelligence], Vol. 82, pp. 1-30

=External Links=
 * [|The Mathematics Genealogy Project - Dan Geiger]
 * [|The AI Genealogy Project :: Dan Geiger]

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