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Hidden Markov models
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#	Item
651	Learning to Predict Phases of Manipulation Tasks as Hidden States Oliver Kroemer, Herke van Hoof, Gerhard Neumann, and Jan Peters Abstract— Phase transitions in manipulation tasks often occur when contacts between obje Add to Reading List Source URL: www.ias.informatik.tu-darmstadt.de Language: English - Date: 2014-03-06 05:13:59 Hidden Markov model Markov chain Phase transition Kalman filter Expectation–maximization algorithm Stochastic matrix Robotics Markov models Statistics Probability and statistics
652	Fourth Workshop on BAYESIAN INFERENCE IN STOCHASTIC PROCESSES Villa Monastero, Varenna (LC), Italy Add to Reading List Source URL: www.mi.imati.cnr.it Language: English - Date: 2005-06-02 18:40:43 Stochastic processes Statistical inference Computational statistics Hidden Markov model Mixture model Bayesian inference Dirichlet process Particle filter Gibbs sampling Statistics Markov models Bayesian statistics
653	A Tutorial on Particle Filtering and Smoothing: Fifteen years later Arnaud Doucet The Institute of Statistical Mathematics, 4-6-7 Minami-Azabu, Minato-ku, Tokyo[removed], Japan. Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2008-12-21 20:26:11 Markov models Applied mathematics Estimation theory Monte Carlo methods Linear filters Particle filter Hidden Markov model Kalman filter Importance sampling Statistics Probability and statistics Robot control
654	FACIAL FEATURE TRACKING AND EXPRESSION RECOGNITION FOR SIGN LANGUAGE by ˙ Ismail Add to Reading List Source URL: www.cmpe.boun.edu.tr Language: English - Date: 2009-08-21 21:45:55 Abstract algebra Eigenvalues and eigenvectors Linear algebra Singular value decomposition Statistical classification Hidden Markov model Algebra Mathematics Markov models
655	INFERNAL User’s Guide Sequence analysis using profiles of RNA sequence and secondary structure consensus http://infernal.janelia.org/ Version 1.1; October 2013 Add to Reading List Source URL: selab.janelia.org Language: English - Date: 2013-10-28 08:07:14 Markov models Computational science Biological databases HMMER Rfam Multiple sequence alignment Sequence alignment Structural alignment Hidden Markov model Bioinformatics Science Computational phylogenetics
656	1 Passive Measurement of Interference in WiFi Networks with Application in Misbehavior Detection Utpal Paul, Anand Kashyap, Ritesh Maheshwari, and Samir R. Das Add to Reading List Source URL: www.wings.cs.sunysb.edu Language: English - Date: 2012-03-08 17:23:10 Channel Hidden Markov model Markov chain Forward–backward algorithm Interference Markov models Statistics Probability and statistics
657	Learning Low Dimensional Predictive Representations Matthew Rosencrantz MROSEN @ CS . CMU . EDU Computer Science Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA Geoff Gordon CALD, Ca Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-04-26 14:50:00 Machine learning Bioinformatics Hidden Markov model Expectation–maximization algorithm Baum–Welch algorithm Predictive state representation Economic model Statistics Markov models Computational statistics
658	Discriminative Keyword Spotting David Grangier∗, Joseph Keshet†, Samy Bengio‡ Abstract This chapter introduces a discriminative method for detecting and spotting keywords in spoken utterances. Given a word represen Add to Reading List Source URL: david.grangier.info Language: English - Date: 2010-12-15 14:12:07 Markov models Keyword spotting Speech recognition Computational linguistics Hidden Markov model Keyword Expectation–maximization algorithm Supervised learning C Computing Software engineering Statistics
659	Discriminative Keyword Spotting Joseph Keshet1 , David Grangier2 and Samy Bengio2 1 School of Computer Science & Engineering, The Hebrew University, Jerusalem, Israel [removed] Add to Reading List Source URL: david.grangier.info Language: English - Date: 2010-12-15 14:11:17 Markov models Keyword spotting Speech recognition Hidden Markov model Supervised learning Perceptron C++ classes Phoneme Vector space Algebra Mathematics Machine learning
660	Closing the Learning-Planning Loop with Predictive State Representations (Extended Abstract) Byron Boots ∗ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-03-03 14:18:55 Stochastic control Markov models Cybernetics Predictive state representation Hidden Markov model Machine learning Markov decision process Algorithm Expectation–maximization algorithm Statistics Markov processes Dynamic programming