Listing of Class projects

Feature Selection for Instruction Placement for the TRIPS Architecture
Katie Coons and Bert Maher

Inter-aural Intensity Difference Imputation with Co-clustering
Austin Waters and Aparajit Raghavan

Regression on Netflix
Richard Boyer and Bakhtiyar Uddin

Co-clustering for Missing Value Estimation on Netflix
Tekin Mericli and Shaoen Yu

Using Co-clustering for Predicting Movie Rating in Netflix
Tuyeb Huynh and Duy Vu

Co-clustering and Local Regression on Netflix
Shounak Roychowdhury and Kunal Khatua

Data Mining for fMRI
Igor Karpov and Adam Hilss

Analysis of CS Journal/Conference Data
David Chen and Xin Li

Comparing pLSI and Non-negative Matrix Factorization
Prateek Jain and Raghu Meka

Comparing pLSI and Non-negative Matrix Factorization
Martin Blom and Zachary McCoy

Maximum-margin Matrix Factorization for Collaborating Filtering
Marc Alban and Andrew Harp

Predicting Species Presence
Josh Harguess and Jennifer Miller

Clustering for Word Class Induction
Michael Glass and Ben Wing