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Maximum-entropy Markov model
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1	Mining the Web With Active Hidden Markov Models Add to Reading List Source URL: fusion.cs.uni-magdeburg.de Language: English - Date: 2002-10-04 04:12:44 Probability and statistics Hidden Markov model Maximum-entropy Markov model Speech recognition Forward–backward algorithm Markov chain Baum–Welch algorithm Expectation–maximization algorithm Algorithm Markov models Statistics Machine learning
2	EUROSPEECHGENEVA A Comparative Study on Maximum Entropy and Discriminative Training for Acoustic Modeling in Automatic Speech Recognition Wolfgang Macherey and Hermann Ney Lehrstuhl f¨ur Informatik VI, Computer Add to Reading List Source URL: www.isca-speech.org Language: English - Date: 2009-09-21 06:28:13 Statistical classification Computer accessibility Speech recognition Maximum-entropy Markov model Pattern recognition Mutual information Linear discriminant analysis Log-linear model Segmentation Statistics Markov models Machine learning
3	FROM FLAT DIRECT MODELS TO SEGMENTAL CRF MODELS Geoffrey Zweig and Patrick Nguyen Microsoft Corporation One Microsoft Way, Redmond, WAABSTRACT This paper summarizes recent work at Microsoft on the development of n Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2010-01-06 19:40:40 Computational linguistics Conditional random field Maximum-entropy Markov model Speech recognition N-gram Language model Dynamic programming Part-of-speech tagging Information extraction Markov models Science Probability
4	A Segmental CRF Approach to Large Vocabulary Continuous Speech Recognition Geoffrey Zweig and Patrick Nguyen Microsoft Research, Redmond, WA {gzweig,panguyen}@microsoft.com Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-09-05 12:53:28 Computational linguistics Statistical natural language processing Graphical models Theoretical computer science Maximum-entropy Markov model Speech recognition N-gram Conditional random field Hidden Markov model Markov models Probability Statistics
5	A Scalable Probabilistic Classifier for Language Modeling Joel Lang Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street, Edinburgh EH8 9AB, UK Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2011-05-20 16:12:48 Bayesian statistics Machine learning N-gram Maximum likelihood Hidden Markov model Principle of maximum entropy Training set Perceptron Entropy Statistics Probability and statistics Statistical theory
6	OSCAR4 Architecture and API Sam Adams, David Jessop, Lezan Hawizy, Egon Willighagen Peter Murray-Rust Refactoring OSCAR3 Add to Reading List Source URL: www-pmr.ch.cam.ac.uk Language: English - Date: 2011-04-15 05:13:18 Computational linguistics Natural language processing Information science Technical communication Semantic Web R Ontology Maximum-entropy Markov model N-gram Science Information Artificial intelligence
7	Conditional Structure versus Conditional Estimation in NLP Models Dan Klein and Christopher D. Manning Computer Science Department Stanford University Stanford, CA[removed] {klein, manning}@cs.stanford.edu Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-08-12 21:03:23 Linguistics Statistical natural language processing Computational linguistics Bayesian statistics Machine learning Maximum-entropy Markov model Hidden Markov model Part-of-speech tagging Word-sense disambiguation Statistics Markov models Science
8	Signatures of Infinity: Nonergodicity and Resource Scaling in Prediction, Complexity, and Learning James P. Crutchfield Sarah Marzen Add to Reading List Source URL: www.santafe.edu Language: English - Date: 2015-04-03 15:58:21 Statistical theory Maximum likelihood Fisher information Entropy Divergence Markov chain Mutual information Likelihood function Parametric model Statistics Estimation theory Information theory
9	Stacked Sequential Learning William W. Cohen Center for Automated Learning & Discovery School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.ijcai.org Language: English - Date: 2005-07-11 15:33:24 Learning Conditional random field Theoretical computer science Neural networks Maximum-entropy Markov model Pattern recognition Hidden Markov model Perceptron Machine learning Markov models Artificial intelligence
10	Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network Kristina Toutanova Dan Klein Computer Science Dept. Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2003-04-01 11:57:49 Markov models Computational linguistics Natural language processing Corpus linguistics Speech recognition Maximum-entropy Markov model Part-of-speech tagging Hidden Markov model N-gram Statistics Linguistics Science