bayesian inference

Using Bayesian Dynamical Systems for Motion Template Libraries NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 A Bayesian Framework for Cross-Situational Word-Learning NeurIPS 2007 A Bayesian LDA-based model for semi-supervised part-of-speech tagging NeurIPS 2007 A Bayesian Model of Conditioned Perception NeurIPS 2007 A neural network implementing optimal state estimation based on dynamic spike train decoding NeurIPS 2007 A New View of Automatic Relevance Determination NeurIPS 2007 A Probabilistic Approach to Language Change NeurIPS 2007 Bayes-Adaptive POMDPs NeurIPS 2007 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007 Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NeurIPS 2007 Bayesian Co-Training NeurIPS 2007 Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NeurIPS 2007 Bayesian Policy Learning with Trans-Dimensional MCMC NeurIPS 2007 Characterizing the Function Space for Bayesian Kernel Models JMLR 2007 Collapsed Variational Inference for HDP NeurIPS 2007 Comparing Bayesian models for multisensory cue combination without mandatory integration NeurIPS 2007 Continuous Time Particle Filtering for fMRI NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 Efficient Bayesian Inference for Dynamically Changing Graphs NeurIPS 2007 Fast Variational Inference for Large-scale Internet Diagnosis NeurIPS 2007 Heterogeneous Component Analysis NeurIPS 2007 Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes NeurIPS 2007 Markov Chain Monte Carlo with People NeurIPS 2007 Measuring Neural Synchrony by Message Passing NeurIPS 2007