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Probabilistic Modeling

2,599 papers

Papers per year

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Papers

Multi-task Gaussian Process Prediction NIPS 2007
Continuous Time Particle Filtering for fMRI NIPS 2007
Learning with Tree-Averaged Densities and Distributions NIPS 2007
Expectation Maximization and Posterior Constraints NIPS 2007
Efficient multiple hyperparameter learning for log-linear models NIPS 2007
Discovering Weakly-Interacting Factors in a Complex Stochastic Process NIPS 2007
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NIPS 2007
Markov Chain Monte Carlo with People NIPS 2007
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations NIPS 2007
Hidden Common Cause Relations in Relational Learning NIPS 2007
CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation NIPS 2007
Exponential Family Predictive Representations of State NIPS 2007
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
Message Passing for Max-weight Independent Set NIPS 2007
Probabilistic Matrix Factorization NIPS 2007
Spatial Latent Dirichlet Allocation NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007
Non-parametric Modeling of Partially Ranked Data NIPS 2007
Integrating Naïve Bayes and FOIL JMLR 2007
Relational Dependency Networks JMLR 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
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching RSS 2007
Data Association in O(n) for Divide and Conquer SLAM RSS 2007