Artificial Intelligence

Learning to Rank with Nonsmooth Cost Functions NeurIPS 2006 Linearly-solvable Markov decision problems NeurIPS 2006 Linear Programming Relaxations and Belief Propagation -- An Empirical Study JMLR 2006 Linear Programs for Hypotheses Selection in Probabilistic Inference Models JMLR 2006 Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning NeurIPS 2006 Logistic Regression for Single Trial EEG Classification NeurIPS 2006 Mixture Regression for Covariate Shift NeurIPS 2006 Modeling Dyadic Data with Binary Latent Factors NeurIPS 2006 Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NeurIPS 2006 Modeling Human Motion Using Binary Latent Variables NeurIPS 2006 Modelling transcriptional regulation using Gaussian Processes NeurIPS 2006 Multi-dynamic Bayesian Networks NeurIPS 2006 Multiple timescales and uncertainty in motor adaptation NeurIPS 2006 Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games NeurIPS 2006 Multi-Task Feature Learning NeurIPS 2006 Natural Actor-Critic for Road Traffic Optimisation NeurIPS 2006 Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints NeurIPS 2006 Noisy-OR Component Analysis and its Application to Link Analysis JMLR 2006 Nonlinear physically-based models for decoding motor-cortical population activity NeurIPS 2006 Non-rigid point set registration: Coherent Point Drift NeurIPS 2006 No-regret Algorithms for Online Convex Programs NeurIPS 2006 On Comparing the Power of Mobile Robots RSS 2006 On the Dubins Traveling Salesperson Problems: novel approximation algorithms RSS 2006 Optimal Change-Detection and Spiking Neurons NeurIPS 2006 Optimal Rules for Programmed Stochastic Self-Assembly RSS 2006