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A Tutorial on the Expectation-Maximization Algorithm Including Maximum-Likelihood Estimation and EM Training of Probabilistic Context-Free Grammars
Detlef Prescher CoRR (2004)Presented at the 15th European Summer School in Logic, Language and Information ESSLLI 2003 .
to EM ML master statistical by unhammer and 1 other user on Nov 10, 2010, 3:53 PM
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TiMBL: Tilburg Memory-Based Learner, version 6.2, Reference Guide
Walter Daelemans, Jakub Zavrel, Ko Sloot, and Antal Van Den Bosch ILK Technical Report, 09-01. (2009)
to DASP303 ML Master TiMBL by unhammer on Nov 11, 2009, 9:35 PM
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Weka: A machine learning workbench for data mining.
E. Frank, M. A. Hall, G. Holmes, R. Kirkby, B. Pfahringer, and I. H. Witten page 1305--1314. Springer, Berlin, (2005)
to DASP303 ML Master WEKA by unhammer on Nov 11, 2009, 4:04 PM
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The acquisition of stress: a data-oriented approach
W. Daelemans, S. Gillis, and G. Durieux Computational Linguistics 20(3):421--451 (1994)
to DASP303 IBL ML Master phonetics phonology pri stress syllabus by unhammer and 4 other users on Oct 5, 2009, 11:11 AM
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Two experiments on learning probabilistic dependency grammars from corpora
G. Carroll, and E. Charniak Working Notes of the Workshop Statistically-Based NLP Techniques (1992)
to ML corpus grammar statistical by unhammer and 4 other users on Feb 20, 2008, 1:38 PM
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Machine Learning
Tom M. Mitchell McGraw-Hill, New York, (1997)
to ML by unhammer and 52 other users on Feb 5, 2008, 11:55 AM
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Classification of dog barks: a machine learning approach
Csaba MolnÃ¡r, FrÃ©dÃ©ric Kaplan, Pierre Roy, FranÃ§ois Pachet, PÃ©ter PongrÃ¡cz, Antal DÃ³ka, and ÃdÃ¡m MiklÃ³si Animal Cognition (2008)
to ML animal_cognition imported toread by unhammer on Jan 19, 2008, 10:00 AM
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