JMLR Workshop and Conference Proceedings
Volume 1: GPIP
Gaussian Processes in Practice
June 12-13, 2006, Bletchley Park, Bletchley, U.K.
Editors: Neil Lawrence, Anton Schwaighofer and Joaquin Quiñonero Candela
- Gaussian Process Approximations of Stochastic Differential Equations
- Cedric Archambeau, Dan Cornford, Manfred Opper and John Shawe-Taylor;
1:1-16, 2007.
[abs]
[pdf]
|
- Multi-class Semi-supervised Learning with the ε-truncated Multinomial Probit Gaussian Process
- Simon Rogers, Mark Girolami;
1:17-32, 2007.
[abs]
[pdf]
|
- Learning RoboCup-Keepaway with Kernels
- Tobias Jung, Daniel Polani;
1:33-57, 2007.
[abs]
[pdf]
|
- Salient Point and Scale Detection by Minimum Likelihood
- Kim S. Pedersen, Marco Loog, Pieter van Dorst;
1:59-72, 2007.
[abs]
[pdf]
|
- Sparse Log Gaussian Processes via MCMC for Spatial Epidemiology
- Jarno Vanhatalo, Aki Vehtari;
1:73-89, 2007.
[abs]
[pdf]
|
jmlr.org