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Markov model
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#	Item
61	MrBayesPrimer (with a focus on model selection) Jeremy M. Brown Dept. of Biological Sciences Louisiana State University www.phyleauxgenetics.org Add to Reading List Source URL: treethinkers.org Language: English - Date: 2014-03-09 14:13:45 Statistics Statistical theory Probability Bayesian statistics Bioinformatics Computational phylogenetics Command shells Probability distributions Markov chain Monte Carlo Substitution model IBM i Control Language Command-line interface
62	Statistical estimation of a growth-fragmentation model observed on a genealogical tree Marie Doumic∗ Marc Hoffmann† Add to Reading List Source URL: www.rocq.inria.fr Language: English - Date: 2012-10-11 03:01:35 Mathematical analysis Probability Mathematics Probability distributions Markov models Markov processes Graph theory Markov chain Distribution Exponential growth Uniform distribution Normal distribution
63	Univ. of Pittsburgh Conditional Random Fields Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2014-10-25 10:56:22 Graphical models Machine learning Statistical models Learning Artificial intelligence Statistics Conditional random field Generative model Markov random field Discriminative model Bayesian network Factor graph
64	COMBINING I-VECTOR REPRESENTATION AND STRUCTURED NEURAL NETWORKS FOR RAPID ADAPTATION Chunyang Wu, Penny Karanasou, Mark J.F. Gales Cambridge University Engineering Dept, Trumpington St., Cambridge, CB2 1PZ U.K. Email: { Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-04-05 12:13:29 Machine learning Automatic identification and data capture Artificial intelligence Humancomputer interaction Markov models Artificial neural networks Computational neuroscience Computer accessibility Speech recognition Perceptron Speaker recognition Hidden Markov model
65	Learning Semantic Representations with Hidden Markov Topics Models Mark Andrews () Gabriella Vigliocco () Cognitive, Perceptual and Brain Sciences University College London, Add to Reading List Source URL: www.mjandrews.net Language: English - Date: 2014-12-16 12:40:25 Statistics Probability Machine learning Statistical natural language processing Statistical models Markov models Probability distributions Latent Dirichlet allocation Dirichlet distribution Topic model Mixture model Gibbs sampling
66	A Dis rete Probabilisti Memory Model for Dis overing Dependen ies in Time Sepp Ho hreiter and Mi hael C. Mozer Department of Computer S ien e University of Colorado Boulder, CO 80309{0430 Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:25:21 Computational neuroscience Cognitive science Applied mathematics Artificial neural networks Neuroscience Computational statistics Long short-term memory Artificial intelligence Hidden Markov model Memory
67	Adapting lexical representation and OOV handling from written to spoken language with word embedding Jeremie Tafforeau(1) , Thierry Artieres(1)(2) , Benoit Favre(1) , Frederic BechetAix Marseille Universite, CNRS Add to Reading List Source URL: www.sensei-conversation.eu Language: English - Date: 2015-10-24 21:25:15 Linguistics Computational linguistics Corpus linguistics Language modeling Applied linguistics Markov models Word embedding Part-of-speech tagging Language model Text corpus Natural language processing Embedding
68	Construction of Dependent Dirichlet Processes based on Poisson Processes Dahua Lin CSAIL, MIT Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:24:50 Probability Statistics Stochastic processes Markov processes Probability distributions Poisson processes Markov models Poisson point process Poisson distribution Dirichlet process Mixture model Gibbs sampling
69	depmixS4 A flexible package to estimate mixture and hidden Markov models Maarten Speekenbrink () and Ingmar Visser LondonR, 10 September 2013 Add to Reading List Source URL: www.londonr.org Language: English - Date: 2015-08-12 07:29:07 Probability Markov models Statistics Machine learning Statistical models Cluster analysis Mixture model Hidden Markov model Markov chain Mixture distribution
70	Coupled Dirichlet Processes: Beyond HDP John Fisher MIT CSAIL Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:23:38 Statistics Probability Stochastic processes Hierarchical Dirichlet process Dirichlet process Dirichlet distribution Mixture model Hidden Markov model Gibbs sampling Probability distribution Poisson point process

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