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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Model selection and velocity estimation using novel priors for motion patterns NIPS 2008
Continuously-adaptive discretization for message-passing algorithms NIPS 2008
Load and Attentional Bayes NIPS 2008
The Mondrian Process NIPS 2008
Non-stationary dynamic Bayesian networks NIPS 2008
Variational Mixture of Gaussian Process Experts NIPS 2008
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NIPS 2008
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NIPS 2008
Goal-directed decision making in prefrontal cortex: a computational framework NIPS 2008
Psychiatry: Insights into depression through normative decision-making models NIPS 2008
Bayesian Synchronous Grammar Induction NIPS 2008
Bayesian Network Score Approximation using a Metagraph Kernel NIPS 2008
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation NIPS 2008
Generative and Discriminative Learning with Unknown Labeling Bias NIPS 2008
Syntactic Topic Models NIPS 2008
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NIPS 2008
Efficient Sampling for Gaussian Process Inference using Control Variables NIPS 2008
Characterizing response behavior in multisensory perception with conflicting cues NIPS 2008
The Infinite Factorial Hidden Markov Model NIPS 2008
Stochastic Relational Models for Large-scale Dyadic Data using MCMC NIPS 2008
Sparse Convolved Gaussian Processes for Multi-output Regression NIPS 2008
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes NIPS 2008
Asynchronous Distributed Learning of Topic Models NIPS 2008
Dependent Dirichlet Process Spike Sorting NIPS 2008
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NIPS 2008