26th January 2004 — Learning graph structure
Yuan and Zoubin will present on learning the structure of graphical models.
Primary recommended reading:
- G. Elidan, N. Lotner, N. Friedman, and D. Koller. (2000). Discovering Hidden Variables: A Structure-Based Approach NIPS 2000.
- Beal, M. J. and Ghahramani, Z. (2003) The Variational Bayesian EM Algorithm for Incomplete Data: with Application to Scoring Graphical Model Structures. In Bernardo et al, Bayesian Statistics 7: 453--464. Oxford University Press.
- A Comparison of Scientific and Engineering Criteria for Bayesian Model Selection (1996), David Heckerman, David Maxwell Chickering.
- Learning with mixture of trees, Meila and Jordan.