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Hidden Markov model
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131	Hidden-Unit Conditional Random Fields Laurens van der Maaten Max Welling Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2015-06-09 09:51:41 Artificial intelligence Neural networks Graphical models Conditional random field Theoretical computer science Perceptron Hidden Markov model Pattern recognition Part-of-speech tagging Machine learning Markov models Statistics
132	MODEL SELECTION IN A SETTING WITH LATENT VARIABLES Ralf Eggeling1 , Teemu Roos2 , Petri Myllym¨aki2 , Ivo Grosse1 1 Institute for Computer Science, Martin Luther University Halle-Wittenberg, 06099 Halle, GERMANY, {eggel Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2013-06-26 03:31:11 Bayesian statistics Graphical models Estimation theory Expectation–maximization algorithm Mixture model Hidden Markov model Latent variable Markov chain Bayesian network Statistics Statistical models Markov models
133	PARTICLE-BASED TRACKING MODEL FOR AUTOMATIC ANOMALY DETECTION Erwan Jouneau and Cyril Carincotte Multitel asbl - 2 Rue Pierre et Marie CurieMons - Belgium ABSTRACT In this paper, we present a new method to automa Add to Reading List Source URL: www.multitel.be Language: English - Date: 2011-05-12 05:06:14 Science Artificial intelligence Anomaly HMM Activity recognition Statistics Bioinformatics Hidden Markov model
134	SUBMITTED TO IEEE TRANS. ON AUDIO, SPEECH, AND LANGUAGE PROCESSING 1 Acoustic Modeling using Deep Belief Networks Abdel-rahman Mohamed, George E. Dahl, and Geoffrey Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2011-03-01 16:37:24 Science Artificial neural network Boltzmann machine Recurrent neural network Feedforward neural network Backpropagation Speech recognition Hidden Markov model Early stopping Neural networks Machine learning Cybernetics
135	Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine George E. Dahl, Marc’Aurelio Ranzato, Abdel-rahman Mohamed, and Geoffrey Hinton Department of Computer Science University of Toronto {gdahl, ranza Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2010-10-31 17:33:50 Markov models Statistical models Data analysis Neural networks Speech recognition Hidden Markov model Boltzmann machine Principal component analysis Covariance matrix Statistics Probability and statistics Machine learning
136	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOITMC, IEEE Tra Add to Reading List Source URL: www-users.cs.umn.edu Language: English - Date: 2014-08-27 04:41:42 Markov chain Finite-state machine Mathematical sciences Applied mathematics Computer science Markov models Bioinformatics Hidden Markov model
137	Adaptive Training for Large Vocabulary Continuous Speech Recognition Kai Yu Hughes Hall College Add to Reading List Source URL: svr-www.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:23:54 Statistical models Estimation theory Bayesian statistics Hidden Markov model Speech recognition Expectation–maximization algorithm Bayesian network Variational Bayesian methods Mixture model Statistics Machine learning Markov models
138	IEEE-28MSP01-Feature-TEMPLATE Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-02-18 03:09:52 Computational neuroscience Science Computational statistics Computational linguistics Hidden Markov model Boltzmann machine Speech recognition Artificial neural network Backpropagation Neural networks Statistics Machine learning
139	A New Approach to Probabilistic Programming Inference Frank Wood Department of Engineering University of Oxford Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2015-06-02 07:22:01 Statistical theory Bayesian statistics Statistical inference Hidden Markov model Importance sampling Normal distribution Mixture model Bayesian inference Joint probability distribution Statistics Probability and statistics Monte Carlo methods
140	BIO Web of Conferences 1, DOI: bioconf © Owned by the authors, published by EDP Sciences, 2011 Challenges in adapting imitation and reinforcement learning to compliant robots Add to Reading List Source URL: www.bio-conferences.org Language: English Robot Hidden Markov model Science Technology Artificial intelligence Humanoid robot Human–robot interaction Robotics

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