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Bayesian Learning

1,663 papers

Papers per year

2
48
52
137
36
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Papers

Analyzing human feature learning as nonparametric Bayesian inference NIPS 2008
Asynchronous Distributed Learning of Topic Models NIPS 2008
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes NIPS 2008
Unifying the Sensory and Motor Components of Sensorimotor Adaptation NIPS 2008
Modeling human function learning with Gaussian processes NIPS 2008
Hebbian Learning of Bayes Optimal Decisions NIPS 2008
Sparse Convolved Gaussian Processes for Multi-output Regression NIPS 2008
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG NIPS 2008
Stochastic Relational Models for Large-scale Dyadic Data using MCMC NIPS 2008
Hierarchical Fisher Kernels for Longitudinal Data NIPS 2008
The Infinite Factorial Hidden Markov Model NIPS 2008
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NIPS 2008
The Infinite Hierarchical Factor Regression Model NIPS 2008
Characterizing response behavior in multisensory perception with conflicting cues NIPS 2008
The Gaussian Process Density Sampler NIPS 2008
Efficient Sampling for Gaussian Process Inference using Control Variables NIPS 2008
Bayesian Exponential Family PCA NIPS 2008
Sequential effects: Superstition or rational behavior? NIPS 2008
How memory biases affect information transmission: A rational analysis of serial reproduction NIPS 2008
Using Bayesian Dynamical Systems for Motion Template Libraries NIPS 2008
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering 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
Bayesian Model of Behaviour in Economic Games NIPS 2008