marginal likelihood

Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012 Evaluation of marginal likelihoods via the density of states AISTATS 2012 Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 On Estimation and Selection for Topic Models AISTATS 2012 An Asymptotic Behaviour of the Marginal Likelihood for General Markov Models JMLR 2011 Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NeurIPS 2011 Gaussian Process Training with Input Noise NeurIPS 2011 Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation NeurIPS 2011 Bayesian Gaussian Process Latent Variable Model AISTATS 2010 Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NeurIPS 2009 Marginal Likelihood Integrals for Mixtures of Independence Models JMLR 2009 The Generalized FITC Approximation NeurIPS 2007 Bayesian Model Scoring in Markov Random Fields NeurIPS 2006 Asymptotic Model Selection for Naive Bayesian Networks JMLR 2005 Exact Bayesian Structure Discovery in Bayesian Networks JMLR 2004