Artificial Intelligence

Kernel Measures of Independence for non-iid Data NeurIPS 2008 Learning a discriminative hidden part model for human action recognition NeurIPS 2008 Learning Bounded Treewidth Bayesian Networks NeurIPS 2008 Learning Bounded Treewidth Bayesian Networks JMLR 2008 Learning Control Knowledge for Forward Search Planning JMLR 2008 Learning from Multiple Sources JMLR 2008 Learning Hybrid Models for Image Annotation with Partially Labeled Data NeurIPS 2008 Learning Taxonomies by Dependence Maximization NeurIPS 2008 Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008 Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement NeurIPS 2008 Learning Transformational Invariants from Natural Movies NeurIPS 2008 Linear Classification and Selective Sampling Under Low Noise Conditions NeurIPS 2008 Load and Attentional Bayes NeurIPS 2008 Local Gaussian Process Regression for Real Time Online Model Learning NeurIPS 2008 Localized Sliced Inverse Regression NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 MAS: a multiplicative approximation scheme for probabilistic inference NeurIPS 2008 MDPs with Non-Deterministic Policies NeurIPS 2008 Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis JMLR 2008 Mixed Membership Stochastic Blockmodels NeurIPS 2008 Mixed Membership Stochastic Blockmodels JMLR 2008 Modeling human function learning with Gaussian processes NeurIPS 2008 Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex NeurIPS 2008 Modeling the effects of memory on human online sentence processing with particle filters NeurIPS 2008 Model selection and velocity estimation using novel priors for motion patterns NeurIPS 2008