An introduction to MCMC for machine learning

@misc{citeulike:815714, 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.}, author = {Andrieu, C. and de Freitas, N. and Doucet, A. and Jordan, M. }, citeulike-article-id = {815714}, keywords = {learning, machinelearning, markov-chain, mcmc, sampling, tutorial}, posted-at = {2008-03-02 03:42:31}, priority = {2}, title = {An introduction to MCMC for machine learning}, url = {http://citeseer.ist.psu.edu/andrieu03introduction.html}, year = {2003} }

TY - GEN ID - citeulike:815714 L3 - citeulike-article-id:815714 TI - An introduction to MCMC for machine learning N2 - 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. KW - learning KW - machinelearning KW - markov-chain KW - mcmc KW - sampling KW - tutorial AU - Andrieu, C AU - de Freitas, N AU - Doucet, A AU - Jordan, M PY - 2003/// UR - http://citeseer.ist.psu.edu/andrieu03introduction.html ER -