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Markov models
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111	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
112	Inference, Models and Simulation for Complex Systems Lecture 6 Prof. Aaron Clauset 1 Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2011-09-16 15:35:30 Statistics Mathematical analysis Probability Stochastic processes Probability distributions Random walk Normal distribution Markov chain Variance Autocorrelation Data transformation Central limit theorem
113	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
114	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
115	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
116	Course Syllabus: COMPSCI 688 Probabilistic Graphical Models – Spring 2016 Instructor: Prof. Brendan O’Connor (http://brenocon.com) Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2016-02-29 18:06:04 Statistics Education Applied mathematics Computational statistics Statistical models Graphical models Bayesian statistics Markov models Bayesian network Markov random field Educational technology Markov chain Monte Carlo
117	© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new Add to Reading List Source URL: www.eeh.ee.ethz.ch Language: English - Date: 2015-11-23 08:56:12 Operations research Theoretical computer science Algorithm Mathematical logic Mathematical optimization Mathematics Applied mathematics Markov models Philosophy of mathematics
118	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
119	Spectral Graph Theory and Applications WSLecture 5: Random Walks and Markov Chain Lecturer: Thomas Sauerwald & He Sun Add to Reading List Source URL: resources.mpi-inf.mpg.de Language: English - Date: 2011-12-08 09:45:08 Probability theory Stochastic processes Markov processes Markov models Probability Mathematical analysis Graph theory Markov chain Random walk Stochastic matrix Matrix Harris chain
120	How to Calculate P(O) Calculating P(O) Forward Algorithm Backward Algorithm Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2015-09-29 12:13:11 Markov models Error detection and correction Dynamic programming Applied mathematics Probability Mathematics Viterbi algorithm Forward algorithm Forwardbackward algorithm Algorithm Sequential decoding Stochastic context-free grammar

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