<--- Back to Details
First PageDocument Content
Latent Dirichlet allocation / Probabilistic latent semantic analysis / Mixture model / Topic model / Dirichlet distribution / Expectation–maximization algorithm / Multinomial distribution / N-gram / Maximum likelihood / Statistics / Probability and statistics / Statistical natural language processing
Date: 2004-08-31 14:18:26
Latent Dirichlet allocation
Probabilistic latent semantic analysis
Mixture model
Topic model
Dirichlet distribution
Expectation–maximization algorithm
Multinomial distribution
N-gram
Maximum likelihood
Statistics
Probability and statistics
Statistical natural language processing

Add to Reading List

Source URL: jmlr.csail.mit.edu

Download Document from Source Website

Share Document on Facebook

Similar Documents

Think Stats: Probability and Statistics for Programmers Version 1.6.0 Think Stats Probability and Statistics for Programmers

DocID: 1uziO - View Document

Introduction to Probability and Statistics Using R G. Jay Kerns First Edition ii

DocID: 1upzW - View Document

Child Mortality Estimation: A Comparison of UN IGME and IHME Estimates of Levels and Trends in Under-Five Mortality Rates and Deaths Leontine Alkema1*, Danzhen You2 1 Department of Statistics and Applied Probability and

DocID: 1ugrm - View Document

Classroom Voting Questions: Elementary Statistics General Probability Rules 1. In a certain semester, 500 students enrolled in both Calculus I and Physics I. Of these students, 82 got an A in calculus, 73 got an A in phy

DocID: 1u7ov - View Document

1. Probability at the University of Sheffield Sheffield has a proud tradition of research and teaching in probability and statistics, dating back to the early 1950s under Geoffrey Jowett and Hilda Davies. In 1965 Profess

DocID: 1tBbH - View Document