Bayesian Inference

A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests JMLR 2006 Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NeurIPS 2006 Bayesian Ensemble Learning NeurIPS 2006 Bayesian Image Super-resolution, Continued NeurIPS 2006 Bayesian Model Scoring in Markov Random Fields NeurIPS 2006 Causal inference in sensorimotor integration NeurIPS 2006 Combining causal and similarity-based reasoning NeurIPS 2006 Conditional mean field NeurIPS 2006 Data Integration for Classification Problems Employing Gaussian Process Priors NeurIPS 2006 Dirichlet-Enhanced Spam Filtering based on Biased Samples NeurIPS 2006 Environment Identification for a Running Robot Using Inertial and Actuator Cues RSS 2006 Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting JMLR 2006 Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems JMLR 2006 Gaussian Processes for Signal Strength-Based Location Estimation RSS 2006 Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NeurIPS 2006 Hierarchical Dirichlet Processes with Random Effects NeurIPS 2006 Learning annotated hierarchies from relational data NeurIPS 2006 Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models NeurIPS 2006 MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006 Mixture Regression for Covariate Shift NeurIPS 2006 Modeling Dyadic Data with Binary Latent Factors 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 Optimal Change-Detection and Spiking Neurons NeurIPS 2006