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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Loopy Belief Propagation: Convergence and Effects of Message Errors JMLR 2005
Local Propagation in Conditional Gaussian Bayesian Networks JMLR 2005
What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks JMLR 2005
Expectation Consistent Approximate Inference JMLR 2005
A Unifying View of Sparse Approximate Gaussian Process Regression JMLR 2005
Learning Module Networks JMLR 2005
Hierarchical Latent Class Models for Cluster Analysis JMLR 2004
Exact Bayesian Structure Discovery in Bayesian Networks JMLR 2004
Probability Product Kernels JMLR 2004
Combining Knowledge from Different Sources in Causal Probabilistic Models JMLR 2003
Learning Probabilistic Models: An Expected Utility Maximization Approach JMLR 2003
Energy-Based Models for Sparse Overcomplete Representations JMLR 2003
Learning Probabilistic Models of Link Structure JMLR 2002
The Representational Power of Discrete Bayesian Networks JMLR 2002
Class-Based Probability Estimation Using a Semantic Hierarchy NAACL 2001
Learning with Mixtures of Trees JMLR 2000