2003 AnIntroToMCMCforML

• (Andrieu et al., 2003) ⇒ Christophe Andrieu, Nando De Freitas, Arnaud Doucet, and Michael I. Jordan. (2003). “An Introduction to MCMC for Machine Learning.” In: Machine Learning, 50(1). doi:10.1023/A:1020281327116

Subject Headings: MCMC Algorithm, Gibbs Sampling Algorithm. Markov Chain Monte Carlo, Stochastic Algorithm.

Cited By

• ~503 http://scholar.google.com/scholar?cites=16119929735447317527

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Abstract

The 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.

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2003 AnIntroToMCMCforML	Christophe Andrieu Arnaud Doucet Nando de Freitas Michael I. Jordan			An Introduction to MCMC for Machine Learning		Machine Learning (ML) Subject Area	http://people.cs.ubc.ca/~nando/papers/mlintro.pdf	10.1023/A:1020281327116		2003