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probabilistic model

476 papers

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Co-occurring keywords

probabilistic modeling (852) bayesian inference (1907) variational inference (2069) generative model (2892) latent variable model (564) unsupervised learning (3264) uncertainty quantification (1393) topic modeling (461) expectation maximization (255) latent variable (541)

Papers

Agreement-Based Learning NIPS 2007
A Bayesian Model of Conditioned Perception NIPS 2007
Probabilistic Matrix Factorization NIPS 2007
Heterogeneous Component Analysis NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
Integrating Naïve Bayes and FOIL JMLR 2007
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NIPS 2006
Noisy-OR Component Analysis and its Application to Link Analysis JMLR 2006
Dirichlet-Enhanced Spam Filtering based on Biased Samples NIPS 2006
Learning to parse images of articulated bodies NIPS 2006
Part-based Probabilistic Point Matching using Equivalence Constraints NIPS 2006
Non-rigid point set registration: Coherent Point Drift NIPS 2006
Learning Nonparametric Models for Probabilistic Imitation NIPS 2006
Context Effects in Category Learning: An Investigation of Four Probabilistic Models NIPS 2006
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments NIPS 2006
Improving Robot Navigation Through Self-Supervised Online Learning RSS 2006
Recursive Attribute Factoring NIPS 2006
Learning to be Bayesian without Supervision NIPS 2006
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NIPS 2006
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NIPS 2006
Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype NIPS 2006
Expectation Consistent Approximate Inference JMLR 2005
Learning Probabilistic Models: An Expected Utility Maximization Approach JMLR 2003
A Unified Framework for Model-based Clustering JMLR 2003
Learning Probabilistic Models of Link Structure JMLR 2002