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Bayesian Learning

455 papers

Papers per year

2
20
11
42
10
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Papers

The Infinite Factorial Hidden Markov Model NIPS 2008
The Infinite Hierarchical Factor Regression Model NIPS 2008
Exact Convex Confidence-Weighted Learning NIPS 2008
Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes NIPS 2008
Syntactic Topic Models NIPS 2008
Bayesian Kernel Shaping for Learning Control NIPS 2008
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NIPS 2008
Structure Learning in Human Sequential Decision-Making NIPS 2008
Model selection and velocity estimation using novel priors for motion patterns NIPS 2008
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NIPS 2008
The Mondrian Process NIPS 2008
Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008
Catching Up Faster in Bayesian Model Selection and Model Averaging NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
Bayesian Agglomerative Clustering with Coalescents NIPS 2007
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Bayes-Adaptive POMDPs NIPS 2007
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NIPS 2007
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
A New View of Automatic Relevance Determination NIPS 2007
The Infinite Markov Model NIPS 2007
Bayesian Co-Training NIPS 2007
A Bayesian Framework for Cross-Situational Word-Learning NIPS 2007