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Probabilistic Modeling

2,599 papers

Papers per year

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Papers

Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting JMLR 2006
Linear Programming Relaxations and Belief Propagation -- An Empirical Study JMLR 2006
Walk-Sums and Belief Propagation in Gaussian Graphical Models JMLR 2006
Noisy-OR Component Analysis and its Application to Link Analysis JMLR 2006
A Probabilistic Exemplar Approach to Combine Laser and Vision for Person Tracking RSS 2006
Probabilistic Terrain Analysis For High-Speed Desert Driving RSS 2006
Learning Module Networks JMLR 2005
Loopy Belief Propagation: Convergence and Effects of Message Errors JMLR 2005
Local Propagation in Conditional Gaussian Bayesian Networks JMLR 2005
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models JMLR 2005
A Unifying View of Sparse Approximate Gaussian Process Regression 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
Interacting Markov Random Fields for Simultaneous Terrain Modeling and Obstacle Detection RSS 2005
Exact Bayesian Structure Discovery in Bayesian Networks JMLR 2004
Hierarchical Latent Class Models for Cluster Analysis JMLR 2004
Probability Product Kernels JMLR 2004
Learning Probabilistic Models: An Expected Utility Maximization Approach JMLR 2003
Combining Knowledge from Different Sources in Causal Probabilistic Models 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