Relational Sequential Inference with Reliable Observations, Alan Fern and Bob Givan, ps
The Information Bottleneck EM Algorithm. G. Elidan , Nir Friedman. html
Efficiently Inducing Features of Conditional Random Fields. Andrew McCallum. pdf )
Optimal Limited Contingency Planning. Nicolas Meuleau and David E. Smith.
Learning Continuous Time Bayesian Networks. Uri Nodelman, Christian R. Shelton, and Daphne Koller pdf
On the Convergence of Bound Optimization Algorithms. Ruslan Salakhutdinov & Sam T. Roweis & Zoubin Ghahramani. pdf
The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach. B. Stewart, J. Ko, D. Fox, and K. Konolige. html
A generalized mean field algorithm for variational inference in exponential families. E.P. Xing, M.I. Jordan, and S. Russell. ps
Monte Carlo Theory as an Explanation of Bagging and Boosting. Roberto Esposito and Lorenza Saitta.
Logical Filtering. E. Amir and S. Russell. ps
Factored Planning. E. Amir and B. Engelhardt. ps
Generalizing Plans to New Environments in Relational MDPs. Carlos Guestrin, Daphne Koller, Chris Gearhart and Neal Kanodia. ps
First-order probabilistic inference. David Poole html
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning. Yaakov Enge, Shie Mannor and Ron Meir pdf
Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning. Y. Zhang, W. Xu, J. Callan ps
Identifying Predictive Structures in Relational Data Using Multiple Instance Learning. McGovern, Amy , and Jensen, David. pdf