Pachinko allocation

Results: 14



#Item
1Hi´erarchie: Interactive Visualization for Hierarchical Topic Models Alison Smith, Timothy Hawes, and Meredith Myers DECISIVE ANALYTICS Corporation Arlington, VA {alison.smith, timothy.hawes, meredith.myers}@dac.us

Hi´erarchie: Interactive Visualization for Hierarchical Topic Models Alison Smith, Timothy Hawes, and Meredith Myers DECISIVE ANALYTICS Corporation Arlington, VA {alison.smith, timothy.hawes, meredith.myers}@dac.us

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Source URL: nlp.stanford.edu

Language: English - Date: 2014-06-21 18:11:38
2review articles doi:[removed][removed]Surveying a suite of algorithms that offer a solution to managing large document archives. by David M. Blei

review articles doi:[removed][removed]Surveying a suite of algorithms that offer a solution to managing large document archives. by David M. Blei

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:20
3David M. Blei Columbia University Department of Computer Science Department of Statistics Columbia University New York, NY

David M. Blei Columbia University Department of Computer Science Department of Statistics Columbia University New York, NY

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Source URL: www.cs.columbia.edu

Language: English - Date: 2014-10-27 10:16:43
4review articles doi:[removed][removed]Surveying a suite of algorithms that offer a solution to managing large document archives. by David M. Blei

review articles doi:[removed][removed]Surveying a suite of algorithms that offer a solution to managing large document archives. by David M. Blei

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Source URL: www.cs.princeton.edu

Language: English - Date: 2012-06-05 15:28:29
5Context-Sensitive Error Correction: Using Topic Models to Improve OCR Michael L. Wick Michael G. Ross Erik G. Learned-Miller University of Massachusetts Amherst

Context-Sensitive Error Correction: Using Topic Models to Improve OCR Michael L. Wick Michael G. Ross Erik G. Learned-Miller University of Massachusetts Amherst

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Source URL: vis-www.cs.umass.edu

Language: English - Date: 2008-01-02 15:36:36
6Accounting for Burstiness in Topic Models  Gabriel Doyle [removed] Department of Linguistics, University of California, San Diego, La Jolla CA[removed], USA Charles Elkan

Accounting for Burstiness in Topic Models Gabriel Doyle [removed] Department of Linguistics, University of California, San Diego, La Jolla CA[removed], USA Charles Elkan

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Source URL: www.machinelearning.org

Language: English - Date: 2009-05-18 12:16:09
7David M. Blei Princeton University Department of Computer Science 35 Olden Street Princeton, NJ 08540

David M. Blei Princeton University Department of Computer Science 35 Olden Street Princeton, NJ 08540

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Source URL: www.cs.princeton.edu

Language: English - Date: 2014-04-06 15:27:19
8Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models Ramesh Nallapati, Amr Ahmed, William Cohen and Eric Xing Machine Learning Department Carnegie Mellon University 5000 Forbes Avenue

Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models Ramesh Nallapati, Amr Ahmed, William Cohen and Eric Xing Machine Learning Department Carnegie Mellon University 5000 Forbes Avenue

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Source URL: www.cs.cmu.edu

Language: English - Date: 2007-09-24 16:28:26
9Package ‘mallet’ July 2, 2014 Type Package Title A wrapper around the Java machine learning tool MALLET Version 1.0 Date[removed]

Package ‘mallet’ July 2, 2014 Type Package Title A wrapper around the Java machine learning tool MALLET Version 1.0 Date[removed]

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 12:22:14
10David Mimno Department of Information Science Cornell University 301 College Ave. Ithaca, NY [removed]

David Mimno Department of Information Science Cornell University 301 College Ave. Ithaca, NY [removed]

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Source URL: mimno.infosci.cornell.edu

Language: English - Date: 2013-09-19 15:26:19