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Monte Carlo algorithm
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#	Item
11	A very brief introduction to simulating the Ising model using an MCMC method Radoslav Harman December 30, Add to Reading List Source URL: www.iam.fmph.uniba.sk Language: English - Date: 2015-12-30 13:20:40 Statistics Functional languages Markov chain Monte Carlo Monte Carlo methods Theoretical physics Ising model Applied mathematics Markov chain MetropolisHastings algorithm Q I1
12	Simulation-Based Approach to General Game Playing Hilmar Finnsson and Yngvi Bj¨ornsson School of Computer Science Reykjav´ık University, Iceland {hif,yngvi}@ru.is Add to Reading List Source URL: ggp.stanford.edu Language: English - Date: 2009-04-17 14:29:40 Game artificial intelligence Gaming Mathematics Leisure Monte Carlo tree search General game playing Computer Go Simulation Game Description Language Artificial intelligence A* search algorithm Search algorithm
13	UCT for PCG Cameron Browne Imperial College London South Kensington, UK Abstract—This paper describes initial experiments in the use Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Mathematics Computer programming Mathematical games Polyforms Software engineering Search algorithms Mathematical optimization Data types Monte Carlo tree search Pentomino Genetic algorithm Tree traversal
14	Condensation \| conditional density propagation for visual tracking Michael Isard and Andrew Blake, Department of Engineering Science, University of Oxford, Add to Reading List Source URL: www.cvg.ethz.ch Language: English - Date: 2015-11-17 06:53:17 Computer vision Condensation algorithm Probability distribution Pi Monte Carlo methods Robot control
15	Bandit based Monte-Carlo Planning Levente Kocsis and Csaba Szepesv´ari Computer and Automation Research Institute of the Hungarian Academy of Sciences, Kende u, 1111 Budapest, Hungary Add to Reading List Source URL: ggp.stanford.edu Language: English - Date: 2009-04-20 18:54:11 Search algorithms Game artificial intelligence Combinatorial optimization Routing algorithms Data types Minimax A* search algorithm Monte Carlo method Tree traversal UCT Tree Monte Carlo tree search
16	1 Improved Adaptive Rejection Metropolis Sampling Algorithms Luca Martino† , Jesse Read† , David Luengo‡ † Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-10-09 00:12:52 Monte Carlo methods Markov chain Monte Carlo Non-uniform random numbers Rejection sampling MetropolisHastings algorithm Limit of a function
17	Monte Carlo Methods with Applications to Spin Systems Add to Reading List Source URL: www.cond-mat.de Language: English - Date: 2013-09-03 08:41:20 Statistical mechanics Monte Carlo methods Markov models Lattice models Markov chain Monte Carlo Ising model Markov chain Probability distribution Pi Detailed balance Algorithm MetropolisHastings algorithm
18	Sampling for Approximate Inference in Continuous Time Bayesian Networks Yu Fan Christian R. Shelton Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:42 Monte Carlo methods Stochastic simulation Estimation theory Robot control Markov models Importance sampling Particle filter Probability distribution Bayesian network Exponential distribution Rejection sampling Expectationmaximization algorithm
19	UNIVERSITY OF CALIFORNIA RIVERSIDE Continuous Time Bayesian Network Approximate Inference and Social Network Applications Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:15 Monte Carlo methods Stochastic simulation Computational statistics Markov models Markov chain Monte Carlo Bayesian network Gibbs sampling Particle filter Approximate inference Expectationmaximization algorithm Statistics Importance sampling
20	2013 IEEE International Conference on Computer Vision Slice Sampling Particle Belief Propagation Oliver Müller, Michael Ying Yang, and Bodo Rosenhahn Institute for Information Processing (TNT), Leibniz University Hanno Add to Reading List Source URL: www.tnt.uni-hannover.de Language: English - Date: 2016-08-02 06:36:10 Monte Carlo methods Markov chain Monte Carlo Non-uniform random numbers Probability distributions Computational statistics MetropolisHastings algorithm Rejection sampling Gibbs sampling Normal distribution Slice sampling Uniform distribution

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