Presentation Schedule for Data Mining: A Statistical Learning Perspective
Monday, February 12, 2007
Section 2.5
Shounak Chowdhury and Kunal Khatua
Monday, March 5, 2007
Gauss-Markov Theorem
Zachary McCoy and Martin Blom
Monday, March 5, 2007
Shrinkage and Lagrange Multipliers
Ben Wing and Bakhtiyar Uddin
Wednesday, April 18, 2007
A Scalable Collaborative Filtering Framework based on Co-clustering.
Tekin Mericli and Shaoen Yu
Wednesday, April 18, 2007
Information-theoretic Co-Clustering.
Tuyen Huynh and Duy Vu
Monday, April 23, 2007
Maximum Margin Matrix Factorization.
Prateek Jain and Raghu Meka
Monday, April 23, 2007
Support Vector Regression
Rahul Iyer
Wednesday, April 25, 2007
Data Mining for Brain Imaging
Igor Karpov and Adam Hilss
Wednesday, April 25, 2007
Sparse PCA
Michael Glass and Richard Boyer
Wednesday, April 25, 2007
Self-organizing Maps
Aparajit Raghavan and Austin Waters
Monday, April 30, 2007
Conservation Modeling
Jennifer Miller and Josh Harguess
Monday, April 30, 2007
Active Semi-Supervision for Pairwise Constrained Clustering PPT Presentation
David Chen and Xin Li
Monday, April 30, 2007
Learning the parts of objects by non-negative matrix factorization
Marc Alban and Andrew Harp
Wednesday, May 2, 2007
A Direct Formulation for Sparse PCA using Semidefinite Programming
Katie Coons and Bert Maher