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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Causal inference in sensorimotor integration NIPS 2006
Parameter Expanded Variational Bayesian Methods NIPS 2006
A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests JMLR 2006
An Information Theoretic Framework for Eukaryotic Gradient Sensing NIPS 2006
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization NIPS 2006
Multi-dynamic Bayesian Networks NIPS 2006
Modelling transcriptional regulation using Gaussian Processes NIPS 2006
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis JMLR 2006
Optimal Change-Detection and Spiking Neurons NIPS 2006
Mixture Regression for Covariate Shift NIPS 2006
Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005
Asymptotic Model Selection for Naive Bayesian Networks JMLR 2005
Inner Product Spaces for Bayesian Networks JMLR 2005
Local Propagation in Conditional Gaussian Bayesian Networks JMLR 2005
Large-Sample Learning of Bayesian Networks is NP-Hard JMLR 2004
Model Averaging for Prediction with Discrete Bayesian Networks JMLR 2004
Exact Bayesian Structure Discovery in Bayesian Networks JMLR 2004
Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet JMLR 2003
An Approximate Analytical Approach to Resampling Averages JMLR 2003
Combining Knowledge from Different Sources in Causal Probabilistic Models JMLR 2003
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification JMLR 2002
Bayes Point Machines JMLR 2001
Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001