Bayesian & Probabilistic

Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008 A general framework for investigating how far the decoding process in the brain can be simplified NeurIPS 2008 A mixture model for the evolution of gene expression in non-homogeneous datasets NeurIPS 2008 Analyzing human feature learning as nonparametric Bayesian inference NeurIPS 2008 An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NeurIPS 2008 An ideal observer model of infant object perception NeurIPS 2008 Approximations for Binary Gaussian Process Classification JMLR 2008 A rational model of preference learning and choice prediction by children NeurIPS 2008 A spatially varying two-sample recombinant coalescent, with applications to HIV escape response NeurIPS 2008 Asynchronous Distributed Learning of Topic Models NeurIPS 2008 Bayesian Experimental Design of Magnetic Resonance Imaging Sequences NeurIPS 2008 Bayesian Exponential Family PCA NeurIPS 2008 Bayesian Inference and Optimal Design for the Sparse Linear Model JMLR 2008 Bayesian Kernel Shaping for Learning Control NeurIPS 2008 Bayesian Model of Behaviour in Economic Games NeurIPS 2008 Bayesian Network Score Approximation using a Metagraph Kernel NeurIPS 2008 Bayesian Synchronous Grammar Induction NeurIPS 2008 Bounds on marginal probability distributions NeurIPS 2008 Causal Reasoning with Ancestral Graphs JMLR 2008 Characterizing response behavior in multisensory perception with conflicting cues NeurIPS 2008 Continuously-adaptive discretization for message-passing algorithms NeurIPS 2008 Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation NeurIPS 2008 Dependent Dirichlet Process Spike Sorting NeurIPS 2008 Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds NeurIPS 2008 Detection of Principle Directions in Unknown Environments for Autonomous Navigation RSS 2008