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Bayesian Learning

1,663 papers

Papers per year

2
48
52
137
36
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Papers

Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
The Infinite Markov Model NIPS 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NIPS 2007
Comparing Bayesian models for multisensory cue combination without mandatory integration NIPS 2007
Privacy-Preserving Belief Propagation and Sampling NIPS 2007
Bayesian Co-Training NIPS 2007
Agreement-Based Learning NIPS 2007
A Bayesian Framework for Cross-Situational Word-Learning NIPS 2007
A neural network implementing optimal state estimation based on dynamic spike train decoding NIPS 2007
Collapsed Variational Inference for HDP NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007
The rat as particle filter NIPS 2007
Building Blocks for Variational Bayesian Learning of Latent Variable Models JMLR 2007
Characterizing the Function Space for Bayesian Kernel Models JMLR 2007
"Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks JMLR 2007
A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning JMLR 2007
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders RSS 2007
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NIPS 2006
Multiple timescales and uncertainty in motor adaptation NIPS 2006
Bayesian Image Super-resolution, Continued NIPS 2006
Bayesian Ensemble Learning NIPS 2006
Combining causal and similarity-based reasoning NIPS 2006
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NIPS 2006
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NIPS 2006