bayesian inference

Optimal models of sound localization by barn owls NeurIPS 2007 PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers JMLR 2007 Sequential Hypothesis Testing under Stochastic Deadlines NeurIPS 2007 The Generalized FITC Approximation NeurIPS 2007 The Infinite Markov Model NeurIPS 2007 The Noisy-Logical Distribution and its Application to Causal Inference NeurIPS 2007 The rat as particle filter NeurIPS 2007 Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NeurIPS 2007 TrueSkill Through Time: Revisiting the History of Chess NeurIPS 2007 A Bayesian Approach to Diffusion Models of Decision-Making and Response Time NeurIPS 2006 A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics RSS 2006 Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization NeurIPS 2006 A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo NeurIPS 2006 Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NeurIPS 2006 Bayesian Ensemble Learning NeurIPS 2006 Bayesian Image Super-resolution, Continued NeurIPS 2006 Bayesian Model Scoring in Markov Random Fields NeurIPS 2006 Bayesian Policy Gradient Algorithms NeurIPS 2006 Combining causal and similarity-based reasoning NeurIPS 2006 Context Effects in Category Learning: An Investigation of Four Probabilistic Models NeurIPS 2006 Data Integration for Classification Problems Employing Gaussian Process Priors NeurIPS 2006 Learning to be Bayesian without Supervision NeurIPS 2006 Mixture Regression for Covariate Shift NeurIPS 2006 Multi-dynamic Bayesian Networks NeurIPS 2006 Multiple timescales and uncertainty in motor adaptation NeurIPS 2006