We are delighted to announce an updated release of the GPML Toolbox. The code as well as the documentation and a tutorial can be obtained from http://www.gaussianprocess.org/gpml/code
The GPML toolbox implements approximate inference algorithms for Gaussian processes such as Expectation Propagation, the Laplace Approximation and Variational Bayes for a wide variety of likelihood functions for both regression and classification. It comes with a large algebra of covariance and mean functions allowing for flexible modeling. Requirements: octave 3.2.x or matlab 7.x Platform: any, tested on: mac, linux and windows License: FreeBSD Carl Edward Rasmussen & Hannes Nickisch _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
