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Hidden Markov model
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#	Item
611	Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M. Blei Computer Science Department, Princeton University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2011-05-12 14:11:19 Latent Dirichlet allocation Dynamic topic model Variational Bayesian methods Topic model Hidden Markov model Calculus of variations Mixture model Bayesian inference Dirichlet process Statistics Statistical natural language processing Bayesian statistics
612	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
613	Bulletin of Mathematical Biology[removed]: 297–321 DOI[removed]s11538[removed]O R I G I N A L A RT I C L E Markov Random Field Modeling of the Spatial Distribution of Proteins on Cell Membranes Add to Reading List Source URL: www.cs.unm.edu Language: English - Date: 2013-08-20 17:04:40 Probability theory Markov processes Graphical models Artificial intelligence Hidden Markov model Markov random field Gibbs sampling Random field Expectation–maximization algorithm Statistics Probability and statistics Markov models
614	Fast, Easy, and Cheap: Construction of Statistical Machine Translation Models with MapReduce Christopher Dyer, Aaron Cordova, Alex Mont, Jimmy Lin Laboratory for Computational Linguistics and Information Processing Unive Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2008-06-21 22:35:18 Concurrent computing Statistical natural language processing Markov models Distributed computing architecture MapReduce Parallel computing Statistical machine translation Hidden Markov model Bitext word alignment Statistics Computing Machine translation
615	Model-Based Approaches to Handling Uncertainty M.J.F. Gales Abstract A powerful approach for handling uncertainty in observations is to modify the statistical model of the data to appropriately reflect this uncertainty. Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2010-09-03 04:10:35 Statistical inference Markov models Statistical models Multivariate normal distribution Speech recognition Hidden Markov model Additive white Gaussian noise Mixture model Linear regression Statistics Estimation theory Regression analysis
616	Large Margin Hidden Markov Models for Automatic Speech Recognition Fei Sha Computer Science Division University of California Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:01 Operations research Convex analysis Markov models Convex optimization Speech recognition Hidden Markov model Semidefinite programming Support vector machine Artificial neural network Statistics Mathematical optimization Mathematics
617	Microsoft Word - submit.doc Add to Reading List Source URL: www.media.mit.edu Language: English - Date: 2006-08-30 16:27:22 Data mining Hidden Markov model Pattern Support vector machine Statistics Formal sciences Data analysis
618	TRECVID 2005 Experiments at Johns Hopkins University: Using Hidden Markov Models for Video Retrieval Brock Pytlik Arnab Ghoshal Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2005-11-03 10:14:09 Statistical classification Science Bioinformatics Hidden Markov model Support vector machine Speech recognition Key frame Image retrieval Lawrence Rabiner Statistics Artificial intelligence Markov models
619	Probabilistic Sequence Models, Part 2 Hidden Markov models. It is natural to combine the i.i.d. model (which has emission probabilities for the various symbols of the underlying alphabet) with a Markov chain (which has t Add to Reading List Source URL: globin.cse.psu.edu Language: English - Date: 2002-11-05 13:40:02 Probability and statistics Markov chain Hidden Markov model Pi Viterbi algorithm Markov models Statistics Mathematical analysis
620	Journal of Machine Learning Research[removed]3232 Submitted 9/12; Revised 7/13; Published[removed]Fast MCMC Sampling for Markov Jump Processes and Extensions Vinayak Rao∗ Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-11-10 18:21:30 Markov chain Continuous-time Markov process Poisson process Uniformization Hidden Markov model Markov property Gibbs sampling Stochastic process Stochastic matrix Statistics Markov processes Markov models

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