Bayesian & Probabilistic

Modeling Dyadic Data with Binary Latent Factors NeurIPS 2006 Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NeurIPS 2006 Modelling transcriptional regulation using Gaussian Processes NeurIPS 2006 Multi-dynamic Bayesian Networks NeurIPS 2006 Multiple timescales and uncertainty in motor adaptation NeurIPS 2006 Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints NeurIPS 2006 Noisy-OR Component Analysis and its Application to Link Analysis JMLR 2006 Non-rigid point set registration: Coherent Point Drift NeurIPS 2006 Optimal Change-Detection and Spiking Neurons 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 Probabilistic Terrain Analysis For High-Speed Desert Driving RSS 2006 Real-time adaptive information-theoretic optimization of neurophysiology experiments NeurIPS 2006 Relational Learning with Gaussian Processes NeurIPS 2006 Segmental Hidden Markov Models with Random Effects for Waveform Modeling 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 The Neurodynamics of Belief Propagation on Binary Markov Random Fields NeurIPS 2006 Theory and Dynamics of Perceptual Bistability NeurIPS 2006 Training Conditional Random Fields for Maximum Labelwise Accuracy NeurIPS 2006 TrueSkill™: A Bayesian Skill Rating System NeurIPS 2006