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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems NIPS 2006
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
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NIPS 2006
Hierarchical Dirichlet Processes with Random Effects NIPS 2006
Walk-Sums and Belief Propagation in Gaussian Graphical Models JMLR 2006
Theory and Dynamics of Perceptual Bistability NIPS 2006
Dirichlet-Enhanced Spam Filtering based on Biased Samples NIPS 2006
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier NIPS 2006
The Neurodynamics of Belief Propagation on Binary Markov Random Fields NIPS 2006
TrueSkill™: A Bayesian Skill Rating System NIPS 2006
Particle Filtering for Nonparametric Bayesian Matrix Factorization NIPS 2006
Aggregating Classification Accuracy across Time: Application to Single Trial EEG NIPS 2006
Accelerated Variational Dirichlet Process Mixtures NIPS 2006
Bayesian Model Scoring in Markov Random Fields NIPS 2006
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time NIPS 2006
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NIPS 2006
Modeling Dyadic Data with Binary Latent Factors NIPS 2006
Tighter PAC-Bayes Bounds NIPS 2006
Learning annotated hierarchies from relational data NIPS 2006