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Stochastic models
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#	Item
751	Variational Inference for Adaptor Grammars Noah A. Smith David M. Blei Shay B. Cohen School of Computer Science Computer Science Department School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Stochastic processes Bayesian statistics Statistical models Probability theory Dirichlet process Formal grammar Pitman–Yor process Gibbs sampling Inside-outside algorithm Statistics Probability and statistics Formal languages
752	The effect of local scheduling in load balancing designs Jason R. Marden Ho-Lin Chen Information Science and Technology Information Science and Technology California Institute of Technology Add to Reading List Source URL: leecenter.caltech.edu Language: English - Date: 2009-05-06 11:10:20 Concurrent computing Operations research Markov models Stochastic processes Scheduling algorithms Scheduling Price of anarchy Load balancing Load Statistics Computing Game theory
753	Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. Using the ”Chandrasekhar Recursions” for Likelihood Evaluation of DSGE Models Add to Reading List Source URL: www.federalreserve.gov Language: English - Date: 2012-06-29 13:10:58 Statistics Stochastic differential equations Estimation theory Robot control Linear filters Kalman filter Filtering problem State space Linear algebra Control theory Cybernetics Systems theory
754	PDF Document Add to Reading List Source URL: globin.cse.psu.edu Language: English - Date: 2002-11-05 13:30:30 Bioinformatics Statistical theory Probability theory Statistical models Hidden Markov model Markov chain Independent and identically distributed random variables Maximum likelihood Stochastic context-free grammar Statistics Markov models Probability
755	How Well Can We Know A MIMO Channel? 1 Introduction Wireless channels are notorious for their spatiotemporal variation – so much so, that the usual recourse is to assume stochastic models [1–3] and devise signaling m Add to Reading List Source URL: www.winlab.rutgers.edu Language: English - Date: 2006-05-27 22:49:22 Information Technology MIMO Channel state information Channel capacity Rayleigh fading Additive white Gaussian noise Fading Channel Information theory Radio resource management Telecommunications engineering
756	Markov Decision Processes Hal Daumé III Computer Science University of Maryland [removed] CS 421: Introduction to Artificial Intelligence Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2012-02-21 13:09:13 Markov processes Markov models Reinforcement learning Markov decision process Artificial intelligence Reinforcement Ai Statistics Dynamic programming Stochastic control
757	Customer Experience Demo for Amdocs Add to Reading List Source URL: www.qnomy.com Language: English - Date: 2014-10-01 02:27:35 Probability and statistics Consumer behaviour Markov models Queueing theory Customer retention Loyalty business model Interactive kiosk Virtual queue Customer attrition Statistics Business Stochastic processes
758	Journal of Mathematical Psychology[removed]–12 Contents lists available at SciVerse ScienceDirect Journal of Mathematical Psychology journal homepage: www.elsevier.com/locate/jmp Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2013-07-18 05:35:57 Statistical models Stochastic processes Statistical inference Dirichlet process Mixture model Latent variable Bayes factor Bayesian inference Hidden Markov model Statistics Bayesian statistics Psychometrics
759	The Nested Chinese Restaurant Process and Bayesian Nonparametric Inference of Topic Hierarchies DAVID M. BLEI Princeton University, Princeton, New Jersey AND Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Statistical natural language processing Statistical models Statistical inference Dirichlet process Latent Dirichlet allocation Chinese restaurant process Non-parametric statistics Mixture model Bayesian network Statistics Stochastic processes Bayesian statistics
760	Syntactic Topic Models David Blei Department of Computer Science 35 Olden Street Princeton University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Computational linguistics Natural language processing Information retrieval Syntax Topic model Latent Dirichlet allocation Treebank Parsing Stochastic context-free grammar Science Linguistics Statistical natural language processing

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