Journal of Machine Learning Research - Proceedings Track, Volume 1

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
  

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