Artificial Intelligence

Gaussian Process Models for Link Analysis and Transfer Learning NeurIPS 2007 GRIFT: A graphical model for inferring visual classification features from human data NeurIPS 2007 Heterogeneous Component Analysis NeurIPS 2007 Hidden Common Cause Relations in Relational Learning NeurIPS 2007 Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion NeurIPS 2007 Hippocampal Contributions to Control: The Third Way NeurIPS 2007 "Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks JMLR 2007 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Inferring Elapsed Time from Stochastic Neural Processes NeurIPS 2007 Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes NeurIPS 2007 Infinite State Bayes-Nets for Structured Domains NeurIPS 2007 Integrating Naïve Bayes and FOIL JMLR 2007 Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing NeurIPS 2007 Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NeurIPS 2007 Learning and using relational theories NeurIPS 2007 Learning Bounds for Domain Adaptation NeurIPS 2007 Learning Horizontal Connections in a Sparse Coding Model of Natural Images NeurIPS 2007 Learning Horn Expressions with LOGAN-H JMLR 2007 Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners JMLR 2007 Learning omnidirectional path following using dimensionality reduction RSS 2007 Learning Visual Attributes NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007 Loop Corrections for Approximate Inference on Factor Graphs JMLR 2007 Loop Series and Bethe Variational Bounds in Attractive Graphical Models NeurIPS 2007 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NeurIPS 2007