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David Heckerman,
an American computer scientist and Microsoft eScience manager. His research interests covers the fields of statistics, data analysis, machine learning and Bayesian Networks.

Selected Publications

• 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 Journal 82, pp. 1-30
• Max Chickering, David Heckerman (1997). Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables, pdf from CiteSeerX
• Nir Friedman, Moises Goldszmidt, David Heckerman, Stuart Russell (1997). Where is the Impact of Bayesian Networks in Learning? In Proc. Fifteenth International Joint Conference on Artificial Intelligence, Nagoya, Japan, ps
• David Heckerman (1999). A tutorial on learning with Bayesian networks, pdf from CiteSeerX

External Links

• David Heckerman Homepage
• David Heckerman: Distinguished Scientist
• Graphical Models for HIV Vaccine Design from videolectures.net, Introduction by Bernhard Pfahringer, HIV Vaccine Design

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