Model Selection and Adaptation of Hyperparameters

Carl Edward Rasmussen, Christopher K I Williams

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter contains sections titled: The Model Selection Problem, Bayesian Model Selection, Cross-validation, Model Selection for GP Regression, Model Selection for GP Classification, Exercises
Original languageEnglish
Title of host publicationGaussian Processes for Machine Learning
Editors Carl Edward Rasmussen, Christopher K. I. Williams
PublisherMIT Press
Pages105-128
Number of pages24
ISBN (Electronic)9780262253321
ISBN (Print)9780262182539
Publication statusPublished - Nov 2005

Publication series

NameAdaptive Computation and Machine Learning series
PublisherMIT Press

Fingerprint

Dive into the research topics of 'Model Selection and Adaptation of Hyperparameters'. Together they form a unique fingerprint.

Cite this