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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Learning Bounded Treewidth Bayesian Networks JMLR 2008
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NIPS 2007
Bayes-Adaptive POMDPs NIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Bayesian Agglomerative Clustering with Coalescents NIPS 2007
Catching Up Faster in Bayesian Model Selection and Model Averaging NIPS 2007
A Bayesian Model of Conditioned Perception NIPS 2007
Collapsed Variational Inference for HDP NIPS 2007
A Bayesian Framework for Cross-Situational Word-Learning NIPS 2007
The Generalized FITC Approximation NIPS 2007
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
Building Blocks for Variational Bayesian Learning of Latent Variable Models JMLR 2007
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders RSS 2007
A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning JMLR 2007
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
Sequential Hypothesis Testing under Stochastic Deadlines NIPS 2007
A New View of Automatic Relevance Determination NIPS 2007
Characterizing the Function Space for Bayesian Kernel Models JMLR 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
"Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks JMLR 2007
Agreement-Based Learning NIPS 2007
The rat as particle filter NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007