Content area

Abstract

This purpose of this introductory paper is threefold. First, it introduces the Monte Carlo method with emphasis on probabilistic machine learning. Second, it reviews the main building blocks of modern Markov chain Monte Carlo simulation, thereby providing and introduction to the remaining papers of this special issue. Lastly, it discusses new interesting research horizons.[PUBLICATION ABSTRACT]

Details

Title
An Introduction to MCMC for Machine Learning
Author
Andrieu, Christophe; de Freitas, Nando; Doucet, Arnaud; Jordan, Michael I
Pages
5-43
Publication year
2003
Publication date
Jan 2003
Publisher
Springer Nature B.V.
ISSN
08856125
e-ISSN
15730565
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
757028381
Copyright
Kluwer Academic Publishers 2003