David Inouye
1 SlideShare
Personal Information
Organization / Workplace
Austin, Texas Area United States
Occupation
Ph.D. Student in C.S.
Industry
Technology / Software / Internet
About
Evaluated and compared graph-aware topic modeling methods on the text of the Bible. Researching how to learn the structure of a model with latent variables using state-of-the-art methods.
Tags
text analysis admixtures text mining data mining markov random fields topic models
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Presentations

(1)

Admixture of Poisson MRFs: A New Topic Model with Word Dependencies

8 years ago • 4714 Views
Personal Information
Organization / Workplace
Austin, Texas Area United States
Occupation
Ph.D. Student in C.S.
Industry
Technology / Software / Internet
About
Evaluated and compared graph-aware topic modeling methods on the text of the Bible. Researching how to learn the structure of a model with latent variables using state-of-the-art methods.
Tags
text analysis admixtures text mining data mining markov random fields topic models
See more