Artificial Intelligence

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 Building Blocks for Variational Bayesian Learning of Latent Variable Models JMLR 2007 Catching Up Faster in Bayesian Model Selection and Model Averaging NeurIPS 2007 Characterizing the Function Space for Bayesian Kernel Models JMLR 2007 Closed Loop Control of a Gravity-assisted Underactuated Robot Arm with Application to Aircraft Wing- RSS 2007 Collapsed Variational Inference for HDP NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Combined discriminative and generative articulated pose and non-rigid shape estimation NeurIPS 2007 Comparing Bayesian models for multisensory cue combination without mandatory integration NeurIPS 2007 Competition Adds Complexity NeurIPS 2007 Composition of Vector Fields for Multi-Robot Manipulation via Caging RSS 2007 Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria NeurIPS 2007 Computing Robust Counter-Strategies NeurIPS 2007 Congruence between model and human attention reveals unique signatures of critical visual events NeurIPS 2007 Context and Feature Sensitive Re-sampling from Discrete Surface Measurements RSS 2007 Continuous Time Particle Filtering for fMRI NeurIPS 2007 Control of Many Agents Using Few Instructions RSS 2007 Convex Relaxations of Latent Variable Training NeurIPS 2007 Cooled and Relaxed Survey Propagation for MRFs NeurIPS 2007 CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation NeurIPS 2007 CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching RSS 2007