Document classification

Results: 887



#Item
331Machine learning / Ensemble learning / Statistical classification / Co-training / Support vector machine / Linear classifier / AdaBoost / Document classification / Boosting / Artificial intelligence / Statistics / Computational statistics

IDENTIFYING FLUORESCENCE MICROSCOPE IMAGES IN ONLINE JOURNAL ARTICLES USING BOTH IMAGE AND TEXT FEATURES Juchang Hua1,2,4, Orhan N. Ayasli5, William W. Cohen1,4 and Robert F. Murphy1,2,3,5 Center for Bioimage Informatics

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Source URL: www.cs.cmu.edu

Language: English - Date: 2007-04-16 09:36:09
332Statistics / Natural language processing / Statistical classification / Computational linguistics / Data mining / Linear classifier / Algorithm / Stemming / Document classification / Machine learning / Artificial intelligence / Science

Context-Sensitive Learning Methods for Text Categorization WILLIAM W. COHEN and YORAM SINGER AT&T Labs Two recently implemented machine-learning algorithms, RIPPER and sleeping-experts for

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Source URL: www.cs.cmu.edu

Language: English - Date: 2002-10-30 10:48:23
333Statistics / Semi-supervised learning / Document classification / Expectation–maximization algorithm / Supervised learning / K-means clustering / Word-sense disambiguation / Concept learning / Statistical classification / Machine learning / Computational statistics / Artificial intelligence

Multi-view Exploratory Learning for AKBC Problems William W. Cohen School of Computer Science Carnegie Mellon University [removed]

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Source URL: www.cs.cmu.edu

Language: English - Date: 2014-11-21 08:59:57
334Internet / Document classification / Email / Computer-mediated communication / Computing

On the Collective Classification of Email “Speech Acts” Vitor R. Carvalho William W. Cohen Language Technologies Institute

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Source URL: www.cs.cmu.edu

Language: English - Date: 2005-04-14 15:13:04
335Artificial intelligence / Science / Machine learning / Statistical classification / Robert F. Murphy / Document classification / Information retrieval / Support vector machine / Biomedical text mining / Natural language processing / Data mining / Statistics

Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature Lu´ıs Pedro Coelho1,2,3 , Amr Ahmed4,5 , Andrew Arnold4 , Joshua Kangas1,2,3, Abdul-Saboor Sheikh3 , Eric P. Xing

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Source URL: www.cs.cmu.edu

Language: English - Date: 2010-04-09 15:48:07
336Supervised learning / Naive Bayes classifier / Co-training / Mixture model / Document classification / Generative model / Expectation–maximization algorithm / Statistical classification / Maximum likelihood / Statistics / Machine learning / Semi-supervised learning

3 Semi-Supervised Text Classification Using EM Kamal Nigam Andrew McCallum Tom Mitchell

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Source URL: www.cs.cmu.edu

Language: English - Date: 2006-03-07 20:47:10
337Natural language processing / Data mining / Genre / Theme / Science / Video game genres / Music genre / Document classification / Literary genre / Fiction / Literature / Narratology

Genre Classification of Web Documents

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Source URL: www.aaai.org

Language: English - Date: 2006-01-11 01:47:09
338Earth / Climatology / Climatic Change / Humid continental climate / Precipitation / Köppen climate classification / Atmospheric sciences / Climate / Meteorology

1 An International Annotated Bibliography of Climate Classifications by Robert F. Strauss [[removed]] Presented to the scientific community of nations, October[removed]This document can be used in any form, an

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Source URL: paws.wcu.edu

Language: English - Date: 2009-12-16 14:32:15
339Science / Part-of-speech tagging / Spam / Natural language processing / Document classification / Noun / Grammatical number / Models of communication / Email / Computing / Internet

Learning to Classify Email into "Speech Acts" William W. Cohen1 1 Vitor R. Carvalho2 Tom M. Mitchell1,2

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Source URL: www.cs.cmu.edu

Language: English - Date: 2004-05-27 12:54:24
340Statistical classification / Data mining / Support vector machine / Anomaly detection / Document classification / Unsupervised learning / Kernel methods / Supervised learning / Margin classifier / Statistics / Machine learning / Artificial intelligence

Unsupervised Two-Class & Multi-class Support Vector Machines for Abnormal Traffic Characterization [Extended Abstract] † †

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Source URL: pam2009.kaist.ac.kr

Language: English - Date: 2009-03-31 10:04:15
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