CSCE 990 - Support Vector Machines Home Page: Spring 2006
Course announcement
Course Syllabus
Homeworks
Slides from lectures
Class Roster (with pictures)
Sample Topic Summaries
Web-based handin
Class e-mail list: cse990a-ml AT cse
On-Line Grading of Topic Summaries
Course Grades
Information on the Projects
Project proposals are due Monday, March 20 Project presentations are April 25 and 27. Written project reports are due via web handin by 11:59pm on Sunday, April 30 (last day of Dead Week).
Helpful links:
Bernhard Schölkopf's
PhD thesis
and his
tutorial slides
An introduction to kernel-based learning algorithms
by Klaus-Robert Muller, Sebastian Mika, Gunnar Ratsch, Koji Tsuda, and Bernhard Schölkopf.
IEEE Transactions on Neural Networks
, 12(2):181-201 (2001).
A Tutorial on Support Vector Machines for Pattern Recognition
by Christopher Burges.
Data Mining and Knowledge Discovery
, 2:121-167 (1998).
Learning with Kernels
(the textbook's website)
Kernel-machines.org
Learning Kernel Classifiers
My hotlist of machine learning people, conferences, etc.
Numerical Recipes
online
Help on Creating pdf Files
(IMPORTANT FOR YOUR HOMEWORK AND PROJECT WRITEUPS)
UNL CSE Department's Policy on Academic Integrity
(
All students are expected to be familiar with and abide by this policy!
)