CSCE 990 - Support Vector Machines Home Page: Spring 2006
Slides from lectures
Class Roster (with pictures)
Sample Topic Summaries
Class e-mail list: cse990a-ml AT cse
On-Line Grading of Topic Summaries
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).
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)
Learning Kernel Classifiers
My hotlist of machine learning people, conferences, etc.
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!