Artificial Intelligence

Optimal Single-Class Classification Strategies NeurIPS 2006 PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier NeurIPS 2006 Parameter Expanded Variational Bayesian Methods NeurIPS 2006 Particle Filtering for Nonparametric Bayesian Matrix Factorization NeurIPS 2006 Point-Based Value Iteration for Continuous POMDPs JMLR 2006 Probabilistic Terrain Analysis For High-Speed Desert Driving RSS 2006 Pursuit and evasion in non-convex domains of arbitrary dimensions RSS 2006 Qualitative Hybrid Control of Dynamic Bipedal Walking RSS 2006 Real-time adaptive information-theoretic optimization of neurophysiology experiments NeurIPS 2006 Recursive ICA NeurIPS 2006 Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NeurIPS 2006 Relational Learning with Gaussian Processes NeurIPS 2006 Responsive Robot Gaze to Interaction Partner RSS 2006 Robotic Grasping of Novel Objects NeurIPS 2006 Segmental Hidden Markov Models with Random Effects for Waveform Modeling JMLR 2006 Self-supervised Monocular Road Detection in Desert Terrain RSS 2006 Sliding Autonomy for Complex Coordinated Multi-Robot Tasks: Analysis & Experiments RSS 2006 Slip Prediction Using Visual Information RSS 2006 Spam Filtering Based On The Analysis Of Text Information Embedded Into Images JMLR 2006 Spam Filtering Using Statistical Data Compression Models JMLR 2006 Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NeurIPS 2006 Statistical Modeling of Images with Fields of Gaussian Scale Mixtures NeurIPS 2006 Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NeurIPS 2006 Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NeurIPS 2006 Temporal Coding using the Response Properties of Spiking Neurons NeurIPS 2006