Artificial Intelligence

Emergence of conjunctive visual features by quadratic independent component analysis NeurIPS 2006 Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting JMLR 2006 Game Theoretic Algorithms for Protein-DNA binding NeurIPS 2006 Generalized Bradley-Terry Models and Multi-Class Probability Estimates JMLR 2006 Graph-Based Visual Saliency NeurIPS 2006 Handling Advertisements of Unknown Quality in Search Advertising NeurIPS 2006 Haptic Playback: Modeling, Controller Design, and Stability Analysis RSS 2006 Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NeurIPS 2006 Hierarchical Dirichlet Processes with Random Effects NeurIPS 2006 Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms NeurIPS 2006 Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions NeurIPS 2006 Improving Robot Navigation Through Self-Supervised Online Learning RSS 2006 Integrated Planning and Control for Convex-bodied Nonholonomic systems using Local Feedback Control Policies RSS 2006 Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NeurIPS 2006 Learning annotated hierarchies from relational data NeurIPS 2006 Learning Factor Graphs in Polynomial Time and Sample Complexity JMLR 2006 Learning from Multiple Sources NeurIPS 2006 Learning Motion Style Synthesis from Perceptual Observations NeurIPS 2006 Learning Nonparametric Models for Probabilistic Imitation NeurIPS 2006 Learning Recursive Control Programs from Problem Solving JMLR 2006 Learning the Structure of Linear Latent Variable Models JMLR 2006 Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models NeurIPS 2006 Learning to be Bayesian without Supervision NeurIPS 2006 Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006 Learning to parse images of articulated bodies NeurIPS 2006