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Introduction to Gaussian processes

. Neural Networks and Machine Learning, (1998)

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Ian D Mackay

D J Frost

J -D Grunwaldt

C J Schumacher

J C Kämmer

 

Другие публикации лиц с тем же именем

A Practical Bayesian Framework for Backprop Networks. Neural Computation, (1992)Introduction to Gaussian processes. Neural Networks and Machine Learning, (1998)Analysis of Linsker's Simulation of Hebbian Rules, и . Neural Computation, (1990)Bayesian non-linear modelling for the 1993 energy prediction competition. Maximum Entropy and Bayesian Methods, Santa Barbara 1993, Kluwer, Dordrecht, (1993)Unsupervised Classifiers, Mutual Information and `Phantom' Targets, и . Advances in Neural Information Processing Systems 4, Morgan Kaufmann, (1992)A Hierarchical Dirichlet Language Model, и . Natural Language Engineering, (1994)Hyperparameters: optimise, or integrate out?. Cavendish Laboratory, Cambridge, United Kingdom, (1993)