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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Efficient Principled Learning of Thin Junction Trees NIPS 2007
Loop Series and Bethe Variational Bounds in Attractive Graphical Models NIPS 2007
Predictive Matrix-Variate t Models NIPS 2007
Loop Corrections for Approximate Inference on Factor Graphs JMLR 2007
Truncating the Loop Series Expansion for Belief Propagation JMLR 2007
A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning JMLR 2007
Spatial Latent Dirichlet Allocation NIPS 2007
Message Passing for Max-weight Independent Set NIPS 2007
CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation NIPS 2007
Hidden Common Cause Relations in Relational Learning NIPS 2007
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations NIPS 2007
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NIPS 2007
Efficient multiple hyperparameter learning for log-linear models NIPS 2007
Continuous Time Particle Filtering for fMRI NIPS 2007
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
The Noisy-Logical Distribution and its Application to Causal Inference NIPS 2007
Temporal Coding using the Response Properties of Spiking Neurons NIPS 2006
A Probabilistic Exemplar Approach to Combine Laser and Vision for Person Tracking RSS 2006
Modeling Dyadic Data with Binary Latent Factors NIPS 2006
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NIPS 2006
Learning Nonparametric Models for Probabilistic Imitation NIPS 2006
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures NIPS 2006
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data NIPS 2006
Approximate inference using planar graph decomposition NIPS 2006