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Hidden Markov models
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#	Item
541	Fast Estimation of Spatially Dependent Temporal Trends Using Gaussian Markov Random Fields David Bolin Mathematical Statistics Centre for Mathematical Sciences Add to Reading List Source URL: www.rap.ucar.edu Language: English - Date: 2008-08-29 16:14:06 Estimation theory Markov models Markov chain Expectation–maximization algorithm Least squares Linear regression Book:Machine Learning - The Complete Guide Hidden Markov model Statistics Regression analysis Econometrics
542	Symbolic Approximation of the Bounded Reachability Probability in Large Markov Chains Markus N. Rabe1 , Christoph M. Wintersteiger2 , Hillel Kugler2 , Boyan Yordanov2 , and Youssef Hamadi2 1 Add to Reading List Source URL: www.winterstiger.at Language: English - Date: 2014-07-21 09:40:00 Markov chain Markov decision process Randomized algorithm PP Additive Markov chain Hidden Markov model Statistics Markov processes Markov models
543	Context-Sensitive Error Correction: Using Topic Models to Improve OCR Michael L. Wick Michael G. Ross Erik G. Learned-Miller University of Massachusetts Amherst Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:36 Statistics Optical character recognition Latent Dirichlet allocation Topic model Language model Pachinko allocation Comparison of optical character recognition software Hidden Markov model Latent semantic analysis Statistical natural language processing Artificial intelligence Science
544	A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy Pinar Donmez Language Technologies Institute Carnegie Mellon University [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-05-20 16:40:22 Robot control Monte Carlo methods Statistical inference Kalman filter Normal distribution Resampling Variance Markov chain Hidden Markov model Statistics Markov models Estimation theory
545	New Methods for Detecting Lineage-Specific Selection Adam Siepel1! , Katherine S. Pollard1!! , and David Haussler1,2 1 Center for Biomolecular Science and Engineering, U.C. Santa Cruz, Santa Cruz, CA 95064, USA Add to Reading List Source URL: compgen.bscb.cornell.edu Language: English - Date: 2006-10-17 22:54:42 Computational phylogenetics Mathematical analysis Markov models Phylogenetics Genetics Indel Substitution model Maximum parsimony Hidden Markov model Statistics Biology Bioinformatics
546	Discriminative Training with Tied Covariance Matrices Wolfgang Macherey, Ralf Schl¨uter, and Hermann Ney Lehrstuhl f¨ur Informatik VI, Computer Science Department RWTH Aachen University, 52056 Aachen, Germany {w.macher Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Mutual information Markov models Bioinformatics Hidden Markov model
547	Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.S080 Introduction to Inference Fall[removed]Information Sheet Add to Reading List Source URL: web.mit.edu Language: English - Date: 2014-08-04 11:37:48 Markov processes Philosophy of thermal and statistical physics Bioinformatics Hidden Markov model Markov chain Principle of maximum entropy Email Algorithm Entropy Statistics Markov models Probability and statistics
548	Bayesian Nonparametric Learning with semi-Markovian Dynamics by Matthew J Johnson B.S. in Electrical Engineering and Computer Sciences Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:36:21 Hidden Markov models Bayesian statistics Markov models Hidden semi-Markov model Dirichlet process Gibbs sampling Bayesian inference Mixture model Non-parametric statistics Statistics Stochastic processes Statistical inference
549	1 Learning User Models of Mobility-Related Activities Through Instrumented Walking Aids Jared Glover Add to Reading List Source URL: www.mit.edu Language: English - Date: 2010-11-05 12:17:14 Activity Science Physics Mathematical sciences Markov models Markov chain Hidden Markov model
550	HMMs and the forward-backward algorithm Ramesh Sridharan∗ These notes give a short review of Hidden Markov Models (HMMs) and the forwardbackward algorithm. They’re written assuming familiarity with the sum-product be Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-01-26 15:07:53 Vehicle Identification Number Science Bioinformatics Hidden Markov model X2

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