Latent semantic analysis

Results: 485



#Item
41The Vector Space Model of Word Meaning Informatics 1 CG: Lecture 13 Reading: An Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259–284.

The Vector Space Model of Word Meaning Informatics 1 CG: Lecture 13 Reading: An Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259–284.

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Source URL: www.inf.ed.ac.uk

Language: English - Date: 2016-02-08 08:36:36
42Efficiently Encoding Term Co-occurrences in Inverted Indexes Marcus Fontoura∗ Maxim Gurevich

Efficiently Encoding Term Co-occurrences in Inverted Indexes Marcus Fontoura∗ Maxim Gurevich

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Source URL: fontoura.org

Language: English - Date: 2011-08-25 01:43:02
43Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change William L. Hamilton, Jure Leskovec, Dan Jurafsky Computer Science Department, Stanford University, Stanford CA, 94305 wleif,jure,

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change William L. Hamilton, Jure Leskovec, Dan Jurafsky Computer Science Department, Stanford University, Stanford CA, 94305 wleif,jure,

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Source URL: web.stanford.edu

Language: English - Date: 2016-06-08 15:36:16
44Pre-Law Summer Institute (PLSI) Application Form  Application for Sum m er of _______ Please type or print neatly in black ink. All inform ation is voluntary. However, failure to com plete all applicable portions of this

Pre-Law Summer Institute (PLSI) Application Form Application for Sum m er of _______ Please type or print neatly in black ink. All inform ation is voluntary. However, failure to com plete all applicable portions of this

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Source URL: ailc-inc.org

Language: English - Date: 2016-01-19 15:53:44
45PeARS: a Peer-to-peer Agent for Reciprocated Search Aurélie Herbelot University of Trento, Centre for Mind/Brain Sciences Palazzo Fedrigotti, Corso BettiniRovereto, Italy

PeARS: a Peer-to-peer Agent for Reciprocated Search Aurélie Herbelot University of Trento, Centre for Mind/Brain Sciences Palazzo Fedrigotti, Corso BettiniRovereto, Italy

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Source URL: www2016.net

Language: English - Date: 2016-04-10 09:02:58
46Random Indexing Explained with High Probability

Random Indexing Explained with High Probability

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Source URL: pars.ie

Language: English - Date: 2015-09-18 07:15:22
47Improved Recommendations via (More) Collaboration Rubi Boim Haim Kaplan  Tova Milo

Improved Recommendations via (More) Collaboration Rubi Boim Haim Kaplan Tova Milo

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Source URL: www.mancoosi.org

Language: English - Date: 2012-12-16 04:54:55
48Leveraging Social Context for Modeling Topic Evolution Janani Kalyanam Amin Mantrach  Univ. of California, San Diego

Leveraging Social Context for Modeling Topic Evolution Janani Kalyanam Amin Mantrach Univ. of California, San Diego

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Source URL: acsweb.ucsd.edu

Language: English - Date: 2015-06-08 14:56:53
49A concave regularization technique for sparse mixture models Martin Larsson School of Operations Research and Information Engineering Cornell University

A concave regularization technique for sparse mixture models Martin Larsson School of Operations Research and Information Engineering Cornell University

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Source URL: papers.nips.cc

Language: English - Date: 2014-02-24 03:30:42
50Topic Modeling in Large Scale Social Network Data Aman Ahuja*, Wei Wei, Kathleen M. Carley December 11, 2015 CMU-ISR

Topic Modeling in Large Scale Social Network Data Aman Ahuja*, Wei Wei, Kathleen M. Carley December 11, 2015 CMU-ISR

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Source URL: www.casos.cs.cmu.edu

Language: English - Date: 2015-12-14 15:24:24