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Hidden Markov model
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#	Item
561	Named Entity Recognition and the Stanford NER Software Named Entity Recognition Germany’s representative to the European Union’s veterinary Add to Reading List Source URL: www-nlp.stanford.edu Language: English - Date: 2008-06-01 23:28:08 Theoretical computer science Conditional random field Science Linguistics Hidden Markov model Coreference Applied mathematics Computational linguistics Machine learning Named-entity recognition
562	Predicting Student Retention in Massive Open Online Courses using Hidden Markov Models Girish Balakrishnan Electrical Engineering and Computer Sciences Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-05-17 20:32:30 Hidden Markov model Massive open online course Probability Statistics Knowledge Layered hidden Markov model Markov models Science Bioinformatics
563	Named Entity Recognition and the Stanford NER Software Named Entity Recognition Germany’s representative to the European Union’s veterinary Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2008-06-01 23:28:08 Theoretical computer science Conditional random field Science Linguistics Hidden Markov model Coreference Applied mathematics Computational linguistics Machine learning Named-entity recognition
564	Nonlin. Processes Geophys., 13, 339–352, 2006 www.nonlin-processes-geophys.net[removed]/ © Author(s[removed]This work is licensed under a Creative Commons License. Nonlinear Processes Add to Reading List Source URL: www.nonlin-processes-geophys.net Language: English - Date: 2014-12-04 07:43:51 Markov chain Hidden Markov model HMM Segmentation Probability and statistics Markov models Statistics Bioinformatics
565	Sensorimotor Coupling Via Dynamic Bayesian Networks Add to Reading List Source URL: www.phriends.eu Language: English - Date: 2008-10-26 13:10:53 Science Inverse problems Cognitive science Eye Eye tracking Vision Inverse kinematics Hidden Markov model Robotics Physics Robot kinematics Humanâ€“computer interaction
566	Occupancy Grid Models for Robot Mapping in Changing Environments Daniel Meyer-Delius Maximilian Beinhofer and Wolfram Burgard KUKA Laboratories GmbH Add to Reading List Source URL: www.tapas-project.eu Language: English - Date: 2012-10-11 04:02:18 Robot control Occupancy grid mapping Markov processes Motion planning Robotic mapping Hidden Markov model Wolfram Burgard Markov chain Robot Robotics Markov models Robot navigation
567	Classifying Dynamic Objects: An Unsupervised Learning Approach Matthias Luber Kai O. Arras Add to Reading List Source URL: www.service-robotik-initiative.de Language: English - Date: 2008-08-12 09:22:27 Science Statistical classification 3D scanner Unsupervised learning Pattern recognition Exemplar Hidden Markov model Supervised learning Outlier Machine learning Statistics Artificial intelligence
568	Bayesian Inference for Finite-State Transducers∗ David Chiang1 Jonathan Graehl1 Kevin Knight1 Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-06-14 21:27:14 Statistical inference Statistical theory Machine learning Expectation–maximization algorithm Gibbs sampling Hidden Markov model Bayesian inference Variational Bayesian methods Pattern recognition Statistics Bayesian statistics Estimation theory
569	Occupancy Grid Models for Robot Mapping in Changing Environments Daniel Meyer-Delius Maximilian Beinhofer and Wolfram Burgard KUKA Laboratories GmbH Add to Reading List Source URL: tapas.informatik.uni-freiburg.de Language: English - Date: 2012-10-11 04:02:18 Robot control Occupancy grid mapping Markov processes Motion planning Robotic mapping Hidden Markov model Wolfram Burgard Markov chain Robot Robotics Markov models Robot navigation

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