Volume 1: Gaussian Processes in Practice, 12-13 June 2006, Bletchley Park, UK


Editors: Neil D. Lawrence, Anton Schwaighofer, Joaquin Quiñonero Candela


Gaussian Process Approximations of Stochastic Differential Equations

Cedric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor; PMLR 1:1-16

Multi-class Semi-supervised Learning with the $\epsilon$-truncated Multinomial Probit Gaussian Process

Simon Rogers, Mark Girolami; PMLR 1:17-32

Learning RoboCup-Keepaway with Kernels

Tobias Jung, Daniel Polani; PMLR 1:33-57

Salient Point and Scale Detection by Minimum Likelihood

Kim S. Pedersen, Marco Loog, Pieter Dorst; PMLR 1:59-72

Sparse Log Gaussian Processes via MCMC for Spatial Epidemiology

Jarno Vanhatalo, Aki Vehtari; PMLR 1:73-89

subscribe via RSS