CSCE 970 (Spring 2009) Home Page

• Course Announcement

• Course Syllabus

• "Graphical Models in a Nutshell", by D. Koller, N. Friedman, L. Getoor, and B. Taskar. In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning, (2007).

• The journal Bayesian Analysis

• Information on the Projects

• Homeworks

• Slides from Lectures

• Course Wiki

• Course Wiki from Spring 2007

• web handin

• To prepare your project presentation, you may want to try Beamer using Chris Bourke's template

• Help on using LaTeX, generating plots, figures, etc.

• Tips on presenting technical material (IMPORTANT FOR YOUR HOMEWORK AND PROJECT WRITEUPS)

• Help on Creating pdf Files

• Backup shell script

• Example shell script for running experiments (written for CSCE 478/878)

• Class email list: cse970-ml AT cse

• The book Gaussian Processes for Machine Learning by Carl Edward Rasmussen and Christopher K. I. Williams, available on-line

Last modified ; please report problems to sscott.