Volume 1, March 2007

• 
  Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor: Gaussian Process Approximations of Stochastic Differential Equations. 1-16
• 
  Simon Rogers, Mark Girolami: Multi-class Semi-supervised Learning with the e-truncated Multinomial Probit Gaussian Process. 17-32
• 
  Tobias Jung, Daniel Polani: Learning RoboCup-Keepaway with Kernels. 33-57
• 
  Kim Steenstrup Pedersen, Marco Loog, Pieter van Dorst: Salient Point and Scale Detection by Minimum Likelihood. 59-72
• 
  Jarno Vanhatalo, Aki Vehtari: Sparse Log Gaussian Processes via MCMC for Spatial Epidemiology. 73-89

last updated on Tue May 21 03:12:10 2013 by the dblp team
data released under the ODC-BY 1.0 license
see also our legal information page