Artificial Intelligence

Stochastic Recruitment: A Limited-Feedback Control Policy for Large Ensemble Systems RSS 2008 Stochastic Relational Models for Large-scale Dyadic Data using MCMC NeurIPS 2008 Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NeurIPS 2008 Structural Learning of Chain Graphs via Decomposition JMLR 2008 Structure Learning in Human Sequential Decision-Making NeurIPS 2008 Super-Flexible Skin Sensors Embedded on the Whole Body, Self-Organizing Based on Haptic Interactions RSS 2008 Syntactic Topic Models NeurIPS 2008 Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation NeurIPS 2008 Temporal Dynamics of Cognitive Control NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008 The Infinite Factorial Hidden Markov Model NeurIPS 2008 The Infinite Hierarchical Factor Regression Model NeurIPS 2008 The Mondrian Process NeurIPS 2008 Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective JMLR 2008 The Recurrent Temporal Restricted Boltzmann Machine NeurIPS 2008 Tracking Changing Stimuli in Continuous Attractor Neural Networks NeurIPS 2008 Transfer Learning by Distribution Matching for Targeted Advertising NeurIPS 2008 Translated Learning: Transfer Learning across Different Feature Spaces NeurIPS 2008 Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing NeurIPS 2008 Unifying the Sensory and Motor Components of Sensorimotor Adaptation NeurIPS 2008 Universal Multi-Task Kernels JMLR 2008 Unlabeled data: Now it helps, now it doesn't NeurIPS 2008 Using Bayesian Dynamical Systems for Motion Template Libraries NeurIPS 2008 Using matrices to model symbolic relationship NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008