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Bioinformatics / Hidden Markov model / Natural language processing / Topic model / Artificial intelligence / Machine learning / Statistical natural language processing / Science


Applications of Latent Variable Models in Modeling Influence and Decision Making Sean M. Gerrish A Dissertation
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Document Date: 2014-12-29 14:13:12

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File Size: 3,33 MB

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City

Cambridge / /

Company

Facebook Inc. / Labeled LDA / Applied Sciences Graduate Travel Funds / Google Inc. / /

Country

United States / /

Event

Funding / /

Facility

Princeton University / /

IndustryTerm

transportation / software tools / natural language processing / relationship mining / /

Organization

NIPS / U.S. Congress / School of Engineering / office of Naval Research / National Science Foundation / Department of Computer Science / Alfred P. Sloan / Princeton University’s Dean’s Fund for Scholarly Travel / Princeton University / Machine Learning Summer School / /

Person

Josh / Ricky Wong / Sean M. Gerrish / Matthew Salganik / Indraneel Mukherjee / Gungor Polatkan / Hanna Wallach / Sam Gershman / Allison Chaney / Kevin Quinn / Mark Skandera / Rajesh Ranganath / Doug Beeferman / Ron Snyder / Lauren Hannah / Matthew Hoffman / Rob Schapire / Leon Bottou / Michael Krot / Dan Rubinstein / Mark Gergen / Jordan Boyd-Graber Ying / Jonathan Chang / Kim / Berk Kapicioglu / David M. Blei April / John Paisley / Melissa Carroll / Clare Llewellyn / David Blei / Jason / Jeffrey Oldham / Prem Gopalan / Jeremy Manning / Arash Baratloo / Chong Wang / Kimberly Misa Gerrish / John Burns / David Mimno / Dragomir Radev / /

Position

Advisor / excellent role model / model of foreign affairs / /

ProgrammingLanguage

BASIC / /

Technology

natural language processing / Machine Learning / 106 A.1.2 An algorithm / /

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