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Markov models
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#	Item
201	Computational Gene Structure Prediction Dissertation zur Erlangung des akademischen Grades Dr. rer. nat. an der Fakult¨at f¨ur Mathematik, Informatik und Naturwissenschaften der Universit¨at Hamburg Add to Reading List Source URL: ediss.sub.uni-hamburg.de Language: English - Date: 2013-06-27 13:27:09 Bioinformatics Gene expression DNA Biological databases Markov models Gene prediction Expressed sequence tag General feature format ENCODE RNA-Seq Complementary DNA
202	Journal of Computer and System Sciences – 363 www.elsevier.com/locate/jcss Designing seeds for similarity search in genomic DNA Jeremy Buhlera,∗ , Uri Keichb , Yanni Suna a Department of Computer Scienc Add to Reading List Source URL: www.maths.usyd.edu.au Language: English - Date: 2005-12-15 13:57:59 Computational phylogenetics Bioinformatics Markov models Sequence alignment BLAST Markov chain Finite-state machine String searching algorithm Dynamic programming Multiple sequence alignment
203	Can the Computer Learn to Play Music Expressively? Christopher Raphael Department of Mathematics and Statistics, University of Massachusetts at Amherst, Amherst, MA, Add to Reading List Source URL: music.informatics.indiana.edu Language: English - Date: 2000-11-10 09:32:54 Graphical models Statistical models Bayesian network Networks Normal distribution Hidden Markov model
204	Improved glottal inverse filtering by Markov chain Monte Carlo methods Samuli Siltanen Professor of Industrial Mathematics Department of Mathematics and Statistics Add to Reading List Source URL: www.siltanen-research.net Language: English - Date: 2012-11-02 03:59:54 Computational linguistics Markov models Speech synthesis Inverse filter Computational statistics Monte Carlo methods MCMC Markov chain Monte Carlo Markov chain Inverse Speech recognition
205	UNIVERSITY OF CALIFORNIA RIVERSIDE Continuous Time Bayesian Network Approximate Inference and Social Network Applications Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:15 Monte Carlo methods Stochastic simulation Computational statistics Markov models Markov chain Monte Carlo Bayesian network Gibbs sampling Particle filter Approximate inference Expectationmaximization algorithm Statistics Importance sampling
206	Semi-Markov models under panel observation Andrew Titman Lancaster University March 8, 2012 Add to Reading List Source URL: www.maths.lancs.ac.uk Language: English - Date: 2012-03-09 06:35:03 Markov processes Markov models Stochastic processes Markov property Kolmogorov equations
207	10742_2009_52_Article 1..17 Add to Reading List Source URL: www.glicko.net Language: English - Date: 2009-12-24 15:06:36 Psychometrics Statistical models Bayesian statistics Differential item functioning Educational research Psychological testing Item response theory Bayesian network Bayesian inference Prior probability Markov chain Monte Carlo Logistic regression
208	June 8, 2016 International Journal of Computer Integrated Manufacturing OutputFeedbackControl Add to Reading List Source URL: people.ee.ethz.ch Language: English - Date: 2016-06-08 04:42:20 Concurrency Diagrams Petri net Control theory Markov models
209	Learning Conditional Random Fields for Stereo Daniel Scharstein Middlebury College Middlebury, VT, USA Chris Pal Add to Reading List Source URL: www.cs.middlebury.edu Language: English - Date: 2007-06-15 21:08:12 Machine learning Graphical models Conditional random field Stereoscopy Vision Image segmentation Markov random field Mixture model Supervised learning Stereopsis Regression analysis
210	A Tractable Framework for Analyzing a Class of Nonstationary Markov Models Lilia Maliar, Serguei Maliar, John B. Taylor and Inna Tsener Frankfurt, April 6, 2016 Add to Reading List Source URL: www.imfs-frankfurt.de Language: English - Date: 2016-04-13 04:09:06 Control theory Markov models Mathematical optimization Markov processes Equations Markov chain State-space representation Bellman equation

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