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Markov chain
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#	Item
241	Load Balancing with Memory Michael Mitzenmacher∗ Balaji Prabhakar † Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2002-07-08 11:25:19 Mathematical analysis Markov processes Markov models Stochastic processes Graph theory Markov chain Queueing theory Pi Exponentiation
242	An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning arXiv:1503.04269v1 [cs.LG] 14 MarRichard S. Sutton Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-03-16 20:16:49 Algebra Linear algebra Mathematics Markov models Markov processes Matrix theory Matrices Q-learning Markov chain Matrix Reinforcement learning Temporal difference learning
243	Microsoft PowerPointRelationship Checking Add to Reading List Source URL: genome.sph.umich.edu Language: English - Date: 2012-10-31 03:33:56 Pure Markov chain Software engineering Regression analysis Statistics Computer programming
244	Correlated Equilibria in Graphical Games Sham Kakade Michael Kearns Gatsby Neuroscience Unit Add to Reading List Source URL: hunch.net Language: English - Date: 2003-09-18 19:48:18 Game theory Mathematics Statistics Probability Graphical model Markov random field Nash equilibrium Graphical game theory Epsilon-equilibrium Best response Correlated equilibrium Markov chain
245	Markov chain Monte Carlo for continuous-time discrete-state systems Vinayak A. P. Rao Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2014-08-30 13:43:20 Statistics Probability theory Probability Markov processes Stochastic processes Markov models Markov chain Monte Carlo Gibbs sampling Bayesian network Monte Carlo method Markov chain Poisson point process
246	Markov chain Monte Carlo Machine Learning Summer School 2009 http://mlg.eng.cam.ac.uk/mlss09/ Iain Murray http://www.cs.toronto.edu/~murray/ Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2009-08-30 22:00:20
247	Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification Panagiotis E. Hadjidoukas1(B) , Panagiotis Angelikopoulos1 , Lina Kulakova1 , Costas Papadimitriou2 , and Petros Koumoutsakos1 1 Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2015-08-03 10:21:45 Statistics Statistical theory Bayesian statistics Estimation theory Parallel computing Bayesian network Bayesian inference Loss function Likelihood function Uncertainty quantification Markov chain Monte Carlo Marginal likelihood
248	Biased CoinSTL ........... Add to Reading List Source URL: genome.sph.umich.edu Language: English - Date: 2012-10-18 00:55:59 Software Computing Computer programming Markov models Markov chain Qt Hidden Markov model
249	PHYSICAL REVIEW E 78, 046704 !2008" Variational method for estimating the rate of convergence of Markov-chain Monte Carlo algorithms Fergal P. Casey* Complex and Adaptive Systems Laboratory, University College Dublin, D Add to Reading List Source URL: cbsu.tc.cornell.edu Language: English - Date: 2014-10-31 16:45:19
250	Mean time to meaningless: MTTDL, Markov models, and storage system reliability Kevin M. Greenan ParaScale, Inc. James S. Plank Add to Reading List Source URL: web.eecs.utk.edu Language: English - Date: 2010-06-03 10:46:36 Computer storage media Failure Survival analysis Computer storage devices Non-volatile memory Reliability engineering Availability Markov chain Solid-state drive RAID Hard disk drive Markov model

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