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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Efficient Bayesian Inference for Dynamically Changing Graphs NIPS 2007
Cooled and Relaxed Survey Propagation for MRFs NIPS 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
A probabilistic model for generating realistic lip movements from speech NIPS 2007
Scene Segmentation with CRFs Learned from Partially Labeled Images NIPS 2007
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NIPS 2007
Non-parametric Modeling of Partially Ranked Data NIPS 2007
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007
Supervised Topic Models NIPS 2007
The Infinite Markov Model NIPS 2007
Exponential Family Predictive Representations of State NIPS 2007
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation NIPS 2007
CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation NIPS 2007
Hidden Common Cause Relations in Relational Learning NIPS 2007
Discovering Weakly-Interacting Factors in a Complex Stochastic Process NIPS 2007
Modelling motion primitives and their timing in biologically executed movements NIPS 2007
Sparse Overcomplete Latent Variable Decomposition of Counts Data NIPS 2007
Modeling homophily and stochastic equivalence in symmetric relational data NIPS 2007
Continuous Time Particle Filtering for fMRI NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007
Collapsed Variational Inference for HDP NIPS 2007
Learning Visual Attributes NIPS 2007
Spatial Latent Dirichlet Allocation NIPS 2007