Presentation Schedule for Data Mining: A Mathematical Perspective
Monday, February 25, 2008
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights.
Srivatsan Ramanujam and Wei Tang
Damped Newton algorithms for matrix factorization with missing data.
Oluwasanmi O. Koyejo and Priyank M. Patel
Wednesday, April 2, 2008
SVM Regression. Section 7.1.4, Pattern Recognition and Machine Learning by Christopher M. Bishop (Course textbook).
Rayyan Jaber and Taesun Moon
Multiple Instance Learning for sparse positive bags
Sudheendra Vijayanarasimhan
Monday, April 28, 2008
A global geometric framework for non-linear dimensionality reduction.
Lewis Fishgold and Jeremy Stober
Weighted Graph Cuts without Eigenvectors: A Multilevel Approach.
Cesar Mantilla and Neda Shahidi
A Remark on Global Positioning from Local Distances
Andrew Dereher and ???
Wednesday, April 30, 2008
Algorithms for Non-negative Matrix Factorization
Learning the parts of objects by non-negative matrix factorization
Steven Peters and Kien Trung Truong
Overview of Bayesian Networks, Ch. 8, 9, and 10, Learning Bayesian Networks by Neapolitan
Marcel Nassar and Hady Ali Zeineddine
What can you do with a web in your pocket?
Wu Hui and Qi Li
Student(s) who have not selected a topic for presentation yet:
Noah Smith