Welcome to the home page for CS598R Special Topics for Winter 2006.

Our proposal for study is here CS598R Winter 2006 Proposal.

The papers we are reading are located on the Readings page.

Mixture Models

Naive Bayes

Expectation-Maximization

Maximum Entropy

Log Likelihood Ratios

Log Domain Computations

Cluster Quality Metrics

Add-one Smoothing Performance

Gaussian Mixture Distributions as a fit for a Non-parametric distribution

Naive Bayes with EM and Unlabeled Documents vs Naive Bayes

TF Feature Selection With Naive Bayes Multinomial

Distributional Word Clustering

Feature Selection with Naive Bayes

Document Clustering

Reuters Data

Reuters21578

Enron

Msg26

ARFF Data Format

Weka

LibSVM

Windows Desktop Search API

Automatic Categorization of Email into Folders: Benchmark Experiments on Enron and SRI Corpora

Ron Bekkerman's Research