Bayesian Inference

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 Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007 A neural network implementing optimal state estimation based on dynamic spike train decoding 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 Blind channel identification for speech dereverberation using l1-norm sparse learning NeurIPS 2007 Catching Up Faster in Bayesian Model Selection and Model Averaging NeurIPS 2007 Comparing Bayesian models for multisensory cue combination without mandatory integration NeurIPS 2007 Continuous Time Particle Filtering for fMRI NeurIPS 2007 Convex Relaxations of Latent Variable Training NeurIPS 2007 Discovering Weakly-Interacting Factors in a Complex Stochastic Process NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 Efficient Bayesian Inference for Dynamically Changing Graphs NeurIPS 2007 Expectation Maximization and Posterior Constraints NeurIPS 2007 Fast Variational Inference for Large-scale Internet Diagnosis NeurIPS 2007 Heterogeneous Component Analysis NeurIPS 2007 Markov Chain Monte Carlo with People NeurIPS 2007 Modeling homophily and stochastic equivalence in symmetric relational data NeurIPS 2007 Neural characterization in partially observed populations of spiking neurons NeurIPS 2007