An Introduction to MCMC for Machine Learning Export

@article{citeulike:1327191, 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, Christophe and de Freitas, Nando and Doucet, Arnaud and Jordan, Michael I.}, citeulike-article-id = {1327191}, citeulike-linkout-0 = {http://dx.doi.org/10.1023/A:1020281327116}, citeulike-linkout-1 = {http://www.cs.princeton.edu/courses/archive/spring06/cos598C/papers/AndrieuFreitasDoucetJordan2003.pdf}, day = {1}, doi = {10.1023/A:1020281327116}, journal = {Machine Learning}, keywords = {machine-learning, mcmc}, month = {January}, number = {1}, pages = {5--43}, posted-at = {2009-11-07 22:14:49}, priority = {2}, title = {An Introduction to MCMC for Machine Learning}, url = {http://dx.doi.org/10.1023/A:1020281327116}, volume = {50}, year = {2003} }

TY - JOUR ID - citeulike:1327191 L3 - citeulike-article-id:1327191 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. IS - 1 JF - Machine Learning EP - 43 TI - An Introduction to MCMC for Machine Learning VL - 50 SP - 5 KW - machine-learning KW - mcmc AU - Andrieu, Christophe AU - de Freitas, Nando AU - Doucet, Arnaud AU - Jordan, Michael PY - 2003/01/01/ UR - http://dx.doi.org/10.1023/A:1020281327116 ER -