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Monte Carlo method
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41	Forum Probabilistic models, learning algorithms, and response variability: sampling in cognitive development Elizabeth Bonawitz1, Stephanie Denison2, Thomas L. Griffiths3, and Alison Gopnik3 Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-09-25 19:59:53 Statistical inference Statistical theory Philosophy of science Sampling techniques Psychometrics Bayesian inference Statistics Monte Carlo method Statistical hypothesis testing Sampling Causality Bayesian network
42	ACCELERATING MCMC WITH ACTIVE SUBSPACES arXiv:1510.00024v1 [math.NA] 30 Sep 2015 PAUL G. CONSTANTINE∗ , CARSON KENT† , AND TAN BUI-THANH‡ Abstract. The Markov chain Monte Carlo (MCMC) method is the computational w Add to Reading List Source URL: users.ices.utexas.edu Language: English - Date: 2016-02-13 10:28:09
43	A Comparative Study of Solvers in Amazons Endgames Julien Kloetzer, Hiroyuki Iida, and Bruno Bouzy Abstract— The game of Amazons is a fairly young member of the class of territory-games. The best Amazons programs play Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:36 Artificial intelligence Game artificial intelligence Operations research Statistics Applied mathematics Electronic games Academia Monte Carlo method Probabilistic complexity theory Game of the Amazons Andor tree Chess problem
44	Multi-Armed Bandit Models for 2D Grasp Planning with Uncertainty Michael Laskey1 , Jeff Mahler1 , Zoe McCarthy1 , Florian T. Pokorny1 , Sachin Patil1 , Jur van den Berg4 , Danica Kragic3 , Pieter Abbeel1 , Ken Goldberg2 Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2015-08-31 02:12:22 Statistics Probability Child development Grasp Reinforcement learning Gittins index Gaussian process Sensitivity analysis Monte Carlo integration Probability distribution Monte Carlo method Sampling
45	Generative probabilistic models extend the scope of inferential structure determination Add to Reading List Source URL: people.binf.ku.dk Language: English - Date: 2012-01-24 06:25:17 Statistics Statistical theory Protein methods Protein structure Bioinformatics Markov chain Monte Carlo Gibbs sampling Root-mean-square deviation Monte Carlo method Bayesian inference Structure validation Global optimization
46	CrossMark_Color_Stacked_p Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-08-01 18:02:33 Statistics Statistical theory Philosophy Philosophy of science Statistical inference Sampling techniques Statistical mechanics Stochastic simulation Bayesian network Bayesian inference Inference Monte Carlo method
47	2146 IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 34, NO. 10, OCTOBER 2015 Description and Characterization of a Novel Method for Partial Volume Simulation in Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2015-10-23 12:50:13 Numerical analysis Neuroimaging 3D computer graphics 3D imaging Cubes Voxel CT scan Level set Partial volume Monte Carlo method Vox 3D modeling
48	Combining Final Score with Winning Percentage by Sigmoid Function in Monte-Carlo Simulations Kazutomo SHIBAHARA Abstract— Monte-Carlo method recently has produced good results in Go. Monte-Carlo Go uses a move which ha Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:33 Mathematics Game artificial intelligence Applied mathematics Statistics Monte Carlo methods Combinatorial game theory Monte Carlo tree search Stochastic simulation Computer Go Minimax Simulation Monte Carlo
49	A Simple Sequential Algorithm for Approximating Bayesian Inference Elizabeth Bonawitz, Stephanie Denison, Annie Chen, Alison Gopnik, & Thomas L. Griffiths {liz b, smdeniso, c annie, gopnik, tom griffiths}@berkeley.edu De Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-03-24 11:58:24 Statistics Sampling techniques Statistical mechanics Stochastic simulation Statistical theory Statistical inference Bayesian inference Bayesian network Particle filter Bayesian probability Monte Carlo method Bayesian statistics
50	Forum Probabilistic models, learning algorithms, and response variability: sampling in cognitive development Elizabeth Bonawitz1, Stephanie Denison2, Thomas L. Griffiths3, and Alison Gopnik3 Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-09-25 18:39:53 Statistical inference Statistical theory Philosophy of science Sampling techniques Psychometrics Bayesian inference Statistics Monte Carlo method Statistical hypothesis testing Sampling Causality Bayesian network