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Hidden Markov model
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431	Who Killed the Directed Model? Justin Domke, Alap Karapurkar, and Yiannis Aloimonos Department of Computer Science University of Maryland {domke,karapurk,yiannis}@cs.umd.edu Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:37:12 Bayesian statistics Statistical models Estimation theory Graphical models Markov random field Mixture model Maximum likelihood Kullback–Leibler divergence Hidden Markov model Statistics Probability and statistics Statistical theory
432	Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition Navdeep Jaitly1∗, Patrick Nguyen2 , Andrew Senior3 , Vincent Vanhoucke2 1 Dept. of Computer Science, University of Toronto, Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-08-04 21:31:00 Statistics Computational linguistics Computational science Computational statistics Computer accessibility Speech recognition Artificial neural network Hidden Markov model Computational neuroscience Science Neural networks
433	Discriminative Mixtures of Sparse Latent Fields for Risk Management Felix V. Agakov Pharmatics Ltd, Edinburgh, UK [removed] Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-04-26 12:49:45 Markov models Bayesian statistics Categorical data Expectation–maximization algorithm Mixture model Hidden Markov model Latent class model Bayesian network Cluster analysis Statistics Statistical models Machine learning
434	J. Vis. Commun. Image R. xxx[removed]xxx–xxx Contents lists available at ScienceDirect J. Vis. Commun. Image R. journal homepage: www.elsevier.com/locate/jvci Add to Reading List Source URL: robotics.usc.edu Language: English - Date: 2013-08-27 13:44:52 Robot navigation Linear filters Estimation theory Bayesian statistics Control theory Recursive Bayesian estimation Electronic engineering Hidden Markov model Markov chain Markov models Statistics Occupancy grid mapping
435	1 An Introduction to Conditional Random Fields for Relational Learning Charles Sutton Department of Computer Science University of Massachusetts, USA Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2006-03-28 16:38:13 Statistical models Regression analysis Graphical models Conditional random field Discriminative model Naive Bayes classifier Hidden Markov model Generative model Multinomial logit Statistics Machine learning Bayesian statistics
436	Modelling motion primitives and their timing in biologically executed movements Marc Toussaint TU Berlin Franklinstr[removed], FR 6-9 Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-04-27 09:41:21 Bioinformatics Hidden Markov model Markov chain Geometric primitive Generative model Expectation–maximization algorithm Statistics Probability and statistics Markov models
437	Microsoft Word - A Partially-Hidden Markov Model for the Analysis of Customer Dynamics in CLV-Measurement FIGURE 1.docx Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2014-05-21 05:19:55 Probability and statistics Consumer behaviour Customer lifetime value Marketing Bioinformatics Markov chain Hidden Markov model Stochastic matrix Customer Statistics Markov models Markov processes
438	Using Word Dependent Transition Models in HMM based Word Alignment for Statistical Machine Translation Xiaodong He Microsoft Research One Microsoft Way Redmond, WA[removed]USA Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-07-21 20:54:01 Machine learning Probability and statistics Bioinformatics Hidden Markov model Estimation theory Statistical machine translation Markov chain Speech recognition Expectation–maximization algorithm Statistics Markov models Statistical natural language processing
439	Neural Networks Leverage Corpus-wide Information for Part-of-speech Tagging Yuta Tsuboi IBM Research - Tokyo [removed] Add to Reading List Source URL: 2boy.org Language: English - Date: 2014-10-17 08:43:37 Computational linguistics Linguistics Computational neuroscience Part-of-speech tagging Natural language processing Recurrent neural network Hidden Markov model Speech recognition Science Neural networks Markov models
440	HIDDEN-ARTICULATOR MARKOV MODELS: PERFORMANCE IMPROVEMENTS AND ROBUSTNESS TO NOISE Matt Richardson, Jeff Bilmes and Chris Diorio University of Washington {mattr@cs, bilmes@ee, diorio@cs}.washington.edu Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2000-11-07 16:23:52 Speech organ Articulation Hidden Markov model Voice Coarticulation Phonetics Linguistics Speech recognition

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