mloss.org Variation Gaussian Approximate Inference for Bayesian Generalized Linear Modelshttp://mloss.orgUpdates and additions to Variation Gaussian Approximate Inference for Bayesian Generalized Linear ModelsenSat, 09 Apr 2011 15:32:27 -0000Variation Gaussian Approximate Inference for Bayesian Generalized Linear Models 1.0http://mloss.org/software/view/308/<html><p>This package implements variational Gaussian Kullback-Leibler approximate inference for Bayesian generalized linear models. It is an implementation of the methods described in: </p> <p>E. Challis and D. Barber. Gaussian Kullback-Leibler Approximate Inference. Journal of Machine Learning Research, vol. 14, 2013, pg. 2239-2286. http://jmlr.org/papers/v14/challis13a.html. </p></html>Edward ChallisSat, 09 Apr 2011 15:32:27 -0000http://mloss.org/software/rss/comments/308http://mloss.org/software/view/308/classificationapproximate inferencesparse learningvariational inferencelogistic regressiongaussian processesgeneralized linear modelsbayesian inference