Meeting Summary for 11/13/08

We began by discussing the different types of matrices (positive definite etc). Some lectures for this are here:

http://www.youtube.com/watch?v=26lLZZz0KGg (Symmetric Matrices and Positive Definiteness)
http://www.youtube.com/watch?v=0sCLv2EQPg8 (Complex Matrices; Fast Fourier Transform)
http://www.youtube.com/watch?v=ZW8NWVyt4rg (Positive Definite Matrices and Minima)

From Gilbert Strang's lecture on SVD, we identified the most important aspects to be the geometric picture(3:00-4:38) and the equations(7:40-17:00). Here is the lecture:

http://www.youtube.com/watch?v=c9271ZFGKrU

Ina would post the Matlab commands for SVD on the blog. We would all look at the ICA/ NCA papers on our own.

For next week, we decided to look at feature selection. A good paper for this is

http://www.cs.waikato.ac.nz/~mhall/HallHolmesTKDE.pdf

Meeting Summary for 11/6/08

We went over PCA and its applications to microarray data (http://sysbio.soe.ucsc.edu/Pubs/psb00.pdf).

For next week we decided to look SVD with each of us looking at specific aspects

Jang : ICA and NCA

Mike : Excerpts of Strang's lecture;
Application :
Alter O, Brown PO, Botstein D. (2000) Singular value decomposition for genome-wide expression data processing and modeling. Proc Natl Acad Sci U S A, 97, 10101-6.

Ina : Matlab Commands for SVD

Archana : Types of Matrices (Definite, Positive Definite etc)