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Stochastic models
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#	Item
761	Journal of Machine Learning Research[removed]1347 Submitted 6/12; Published 5/13 Stochastic Variational Inference Matthew D. Hoffman Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2013-06-14 05:31:44 Estimation theory Econometrics Statistical models Expectation–maximization algorithm Mixture model Markov chain Linear regression Latent Dirichlet allocation Regression analysis Statistics Bayesian statistics Markov models
762	Noname manuscript No. (will be inserted by the editor) Many flows asymptotics for SMART scheduling policies? Changwoo Yang · Adam Wierman · Sanjay Shakkottai · Mor Harchol-Balter. Add to Reading List Source URL: leecenter.caltech.edu Language: English - Date: 2009-05-06 11:05:43 Stochastic processes Mathematical sciences Queueing theory Markov models Scheduling Priority queue Smart FIFO Statistics Operations research Scheduling algorithms
763	Customer Experience Demo for Amdocs Add to Reading List Source URL: qnomy.com Language: English - Date: 2014-10-01 02:27:37 Advertising Marketing Digital signage Video Markov models Stochastic processes Queue management system Queueing theory Fifth screen Business Statistics Signage
764	DATA-DRIVEN RECOMPOSITION USING THE HIERARCHICAL DIRICHLET PROCESS HIDDEN MARKOV MODEL Matthew D. Hoffman† , Perry R. Cook†‡ , David M. Blei† Princeton University †Dept. of Computer Science ‡Dept. of Music Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Probability and statistics Hidden Markov model Markov chain Speech recognition Stochastic matrix Viterbi algorithm Expectation–maximization algorithm Gibbs sampling Hierarchical hidden Markov model Markov models Statistics Machine learning
765	Journal of Machine Learning Research[removed]2410 Submitted 10/09; Revised 12/10; Published 8/10 Distance Dependent Chinese Restaurant Processes David M. Blei Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2013-02-16 21:04:48 Machine learning Probability theory Dirichlet process Chinese restaurant process Mixture model Cluster analysis Mixture Exchangeable random variables Statistics Stochastic processes Statistical models
766	Learning Stochastic Feedforward Neural Networks Yichuan Tang Department of Computer Science University of Toronto Toronto, Ontario, Canada. Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-11-19 21:06:13 Machine learning Estimation theory Statistical theory Expectation–maximization algorithm Bayesian network Gibbs sampling Perceptron Kullback–Leibler divergence Mixture model Statistics Statistical models Neural networks
767	How well-connected is the surface of the global ocean? Gary Froyland,1 Robyn M. Stuart,1 and Erik van Sebille2 1) School of Mathematics and Statistics, The University of New South Wales, Sydney NSW 2052, Australia Add to Reading List Source URL: web.science.unsw.edu.au Language: English - Date: 2014-04-14 05:37:33 Matrix theory Linear algebra Markov processes Markov chain Physical oceanography Eigenvalues and eigenvectors Dynamical system Stochastic matrix Invariant Algebra Mathematics Markov models
768	Static Vs. Dynamic Regenerator Assignment in Optical Switches: Models and Cost Trade-offs Kotikalapudi Sriram, David Griffith, Richard Su, and Nada Golmie Abstract— Agile all optical switches (OXC) currently use an arc Add to Reading List Source URL: w3.antd.nist.gov Language: English - Date: 2009-02-03 16:25:34 Poisson processes Telecommunications Erlang Network performance Sart Transmission system Fiber-optic communication Queueing model Statistics Queueing theory Stochastic processes
769	Truncation-free Stochastic Variational Inference for Bayesian Nonparametric Models Chong Wang⇤ Machine Learning Department Carnegie Mellon University [removed] Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2012-11-10 21:14:58 Dirichlet process Latent Dirichlet allocation Mixture model Bayesian inference Importance sampling Inference Conjugate prior Hierarchical Bayes model Dirichlet distribution Statistics Bayesian statistics Variational Bayesian methods
770	Forest Change Detection Using Stochastic Simulation Models in Cass County, North Dakota Buddhika D. Madurapperuma Environmental and Conservation Science Program Add to Reading List Source URL: www.nd.gov Language: English - Date: 2011-10-19 15:00:25 Habitats Trees Cass County North Dakota Wetland Cass County North Dakota Ecology Systems ecology Ecosystems Forest

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