Probabilistic Modeling
2,617 papers
Papers per year
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100
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153
138
89
118
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Papers
Local Propagation in Conditional Gaussian Bayesian Networks
JMLR 2005
Exact Bayesian Structure Discovery in Bayesian Networks
JMLR 2004
PAC-learnability of Probabilistic Deterministic Finite State Automata
JMLR 2004
The Minimum Error Minimax Probability Machine
JMLR 2004
A Generative Model for Separating Illumination and Reflectance from Images
JMLR 2003
A Maximum Likelihood Approach to Single-channel Source Separation
JMLR 2003
A Multiscale Framework For Blind Separation of Linearly Mixed Signals
JMLR 2003
A Unified Framework for Model-based Clustering
JMLR 2003
Beyond Independent Components: Trees and Clusters
JMLR 2003
Blind Source Recovery: A Framework in the State Space
JMLR 2003
Latent Dirichlet Allocation
JMLR 2003
Learning Probabilistic Models: An Expected Utility Maximization Approach
JMLR 2003
Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet
JMLR 2003
Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions
JMLR 2003
Statistical Dynamics of On-line Independent Component Analysis
JMLR 2003
Learning Probabilistic Models of Link Structure
JMLR 2002
Class-Based Probability Estimation Using a Semantic Hierarchy
NAACL 2001