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The top documents tagged [nave bayes classifier]
11 Chapter 20 Computational Lexical Semantics. Supervised Word-Sense Disambiguation (WSD) Methods that learn a classifier from manually sense-tagged text
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Mehdi Ghayoumi MSB rm 132
[email protected]
Ofc hr: Thur, 11-12 a Machine Learning
223 views
Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.1 Chapter 3 : The Problem of Web Navigation
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Automatic Hierarchy Discovery and Opinion Mining of Political Blogs Amit Goyal Kristi McBurnie November 28, 2007
218 views
Path Following & Motion Control Stephen J. Guy Stephen J. Guy
225 views
Evaluation of classifiers: choosing the right model Rajashree Paul Irina Pekerskaya
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Decision making in episodic environments We have just looked at decision making in sequential environments Now let’s consider the “easier” problem of episodic
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1 Discussion of assigned readings Lecture 13. 2 How does ‘smoothing’ help in Bayesian word sense disambiguation? How do you do this smoothing? – Most
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Using Error-Correcting Codes For Text Classification Rayid Ghani
[email protected]
Center for Automated Learning & Discovery, Carnegie Mellon University
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Efficient Text Categorization with a Large Number of Categories Rayid Ghani KDD Project Proposal
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Predicting Gene Functions from Text Using a Cross- Species Approach Emilia Stoica and Marti Hearst SIMS University of California, Berkeley
218 views
Co-training LING 572 Fei Xia 02/21/06. Overview Proposed by Blum and Mitchell (1998) Important work: –(Nigam and Ghani, 2000) –(Goldman and Zhou, 2000)
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