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Hidden Markov models
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71	Hilbert Space Embeddings of Hidden Markov Models Le Song Byron Boots Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2011-07-19 22:00:19 Mathematical analysis Mathematics Algebra Estimation theory Hilbert space Operator theory Markov models Linear algebra Hidden Markov model Normal distribution Expectationmaximization algorithm Speech recognition
72	Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning Sanjay Krishnan1 , Animesh Garg2 , Sachin Patil1 , Colin Lea3 , Gregory Hager3 , Pieter Abbeel1 , Ken Goldberg1,2 denotes e Add to Reading List Source URL: goldberg.berkeley.edu Language: English* - Date: 2015-09-09 10:51:11 Statistics Markov models Machine learning Computational statistics Cluster analysis Mixture model Image segmentation Hidden Markov model K-means clustering Expectationmaximization algorithm BaumWelch algorithm Hierarchical clustering
73	Chapter 4 An Introduction to Hidden Markov Models for Biological Sequences by Anders Krogh Center for Biological Sequence Analysis Technical University of Denmark Add to Reading List Source URL: people.binf.ku.dk Language: English - Date: 2005-11-10 10:33:00
74	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2009-08-13 03:47:05 Statistics Statistical models Markov models Graphical models Mathematical optimization Operations research Bayesian network Hidden Markov model Dynamic programming Naive Bayes classifier Algorithm Partially observable Markov decision process
75	IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 10, NO. 1, FEBRUARYEvolving the Structure of Hidden Markov Models Kyoung-Jae Won, Adam Prügel-Bennett, and Anders Krogh Add to Reading List Source URL: people.binf.ku.dk Language: English - Date: 2006-02-07 06:57:41
76	Supplemental Material: Stochastic variational inference for hidden Markov models Nicholas J. Foti† , Jason Xu† , Dillon Laird, and Emily B. Fox University of Washington {nfoti@stat,jasonxu@stat,dillonl2@cs,ebfox@stat Add to Reading List Source URL: nfoti.github.io Language: English - Date: 2015-09-18 20:38:59
77	Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees Joseph E. Gonzalez Carnegie Mellon University Add to Reading List Source URL: select.cs.cmu.edu Language: English Graphical models Markov models Probability theory Ergodic theory Stochastic processes Gibbs sampling Markov chain Ergodicity Hidden Markov model Mixing Graph coloring Markov random field
78	Stochastic Variational Inference for Hidden Markov Models Nicholas J. Foti† , Jason Xu† , Dillon Laird, and Emily B. Fox University of Washington {nfoti@stat,jasonxu@stat,dillonl2@cs,ebfox@stat}.washington.edu Add to Reading List Source URL: nfoti.github.io Language: English - Date: 2015-09-18 20:38:59
79	1 Inference in Hidden Markov Models with Explicit State Duration Distributions Michael Dewar, Chris Wiggins, Frank Wood Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2012-03-01 14:11:32
80	An Evaluation of Models for Predicting Opponent Positions in First-Person Shooter Video Games Stephen Hladky and Vadim Bulitko filters to predict opponent positions in first-person shooter (FPS) video games. These models Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:42 Statistics Monte Carlo methods Probability theory Estimation theory Robot control Nonparametric statistics Markov models Particle filter Prediction Hidden semi-Markov model Resampling Markov chain