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ORCIDGaussian Processes in Practice
- Neil D. Lawrence, Anton Schwaighofer, Joaquin Quiñonero Candela:
Gaussian Processes in Practice, Bletchley Park, Bletchley, UK, June 12-13, 2006. JMLR Proceedings 1, JMLR.org 2007 - Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor:
Gaussian Process Approximations of Stochastic Differential Equations. 1-16 - Simon Rogers, Mark A. 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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last updated on 2024-11-14 20:50 CET by the dblp team
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