CSCE 990 - Support Vector Machines Home Page: Spring 2004
Course Syllabus
Homeworks
Slides from lectures
Class Roster (with pictures)
Web-based handin
Class e-mail list: cse990g-ml AT cse
Sample Topic Summaries
On-Line Grading of Topic Summaries
Course Grades
Information on the Projects
Project reports are due May 2
Tips on presenting technical material
(IMPORTANT FOR YOUR HOMEWORK AND PROJECT WRITEUPS)
Help on Creating pdf Files
(IMPORTANT FOR YOUR HOMEWORK AND PROJECT WRITEUPS)
Anonymous Suggestion Box
UNL CSE Department's Policy on Academic Integrity
[
All students are expected to be familiar with and abide by this policy!
]
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