Artificial Intelligence

Bayesian Image Super-resolution, Continued NeurIPS 2006 Bayesian Model Scoring in Markov Random Fields NeurIPS 2006 Bayesian Network Learning with Parameter Constraints JMLR 2006 Bayesian Policy Gradient Algorithms NeurIPS 2006 Boosting Structured Prediction for Imitation Learning NeurIPS 2006 Bounds for Linear Multi-Task Learning JMLR 2006 Causal Graph Based Decomposition of Factored MDPs JMLR 2006 Causal inference in sensorimotor integration NeurIPS 2006 Chained Boosting NeurIPS 2006 Combining causal and similarity-based reasoning NeurIPS 2006 Conditional mean field NeurIPS 2006 Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons NeurIPS 2006 Context Effects in Category Learning: An Investigation of Four Probabilistic Models NeurIPS 2006 Convex Repeated Games and Fenchel Duality NeurIPS 2006 Correcting Sample Selection Bias by Unlabeled Data NeurIPS 2006 Data Integration for Classification Problems Employing Gaussian Process Priors NeurIPS 2006 Design Methodologies for Central Pattern Generators: An Application to Crawling Humanoids RSS 2006 Detecting Humans via Their Pose NeurIPS 2006 Development of Methodology for Design and Analysis of Physically Cooperating Robot and Applications to Other Robotic Systems RSS 2006 Dirichlet-Enhanced Spam Filtering based on Biased Samples NeurIPS 2006 Distributed Coverage Control with Sensory Feedback for Networked Robots RSS 2006 Distributed Inference in Dynamical Systems NeurIPS 2006 Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference RSS 2006 Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning NeurIPS 2006 Efficient Structure Learning of Markov Networks using L_1-Regularization NeurIPS 2006