CSCE 990 - Support Vector Machines (Spring 2004) lecture slides
In general, also see:
- 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).
-
An Introduction to Support Vector Machines, by
Nello Cristianini
and John Shawe-Taylor.
Cambridge University Press, 2000.
ISBN 0-521-78019-5.
-
Learning Kernel
Classifiers, by Ralf Herbrich. MIT Press, 2002, ISBN 0-262-08306-X.
-
Machine Learning,
by Tom Mitchell. McGraw-Hill, 1997,
ISBN 0070428077.
-
Lectures 0 and 1: Administrivia and Introduction, Jan 13-20, Chapter 1
(ps1up,
pdf1up,
ps4up,
pdf4up)
- Homework 0 due Jan 20
-
Lecture 2: Kernels,
Jan 20-22, Sections 1.1, 2.1-2.3, 2.5
(ps1up,
pdf1up,
ps4up,
pdf4up)
-
Lecture 3: Risk and Loss Functions,
Jan 27-29, Sections 1.3, 3.1-3.2, 3.5
(ps1up,
pdf1up,
ps4up,
pdf4up)
-
Lecture 4: Statistical Learning Theory,
Jan 29-Feb 5, Sections 1.3, 5.1-5.4, 5.5.3-5.5.6, 5.6-5.7
(ps1up,
pdf1up,
ps4up,
pdf4up)
- Homework 1 due Feb 23
-
Lectures 5 and 6: Regularization and Optimization,
Feb 10-19, Sections 1.4, 6.1-6.3, 6.6, and a little bit of Chapter 4
(ps1up,
pdf1up,
ps4up,
pdf4up)
- Homework 2 due Apr 4
-
Lecture 7: SVMs for Classification,
Feb 24-Mar 11, Sections 7.1-7.6, 7.8-7.9
(ps1up,
pdf1up,
ps4up,
pdf4up)
- March 15-19: Spring Break
- Homework 3 due Apr 25
-
Lecture 8: Implementation Issues,
Mar 23-Apr 8, Sections 6.2.5, 6.4, 10.1-10.5, 10.7
(ps1up,
pdf1up,
ps4up,
pdf4up)
Also see:
-
Lecture 9: Designing Kernels,
Apr 13-22, Sections 13.1-13.3, 13.5
(ps1up,
pdf1up,
ps4up,
pdf4up)
Also see:
-
C. Leslie, E. Eskin, and W. Noble.
The spectrum kernel: A string kernel for SVM
protein classification. In Proceedings of the
Pacific Symposium on Biocomputing, pp. 564-575, 2002.
- A. Zien, G. Ratsch, S. Mika, B. Scholkopf, T. Lengauer, and K.-R. Muller.
Engineering kernels that recognize translation initiation sites.
Bioinformatics, 16(9):799-807, 2000.
-
How to give a good research talk,
April 20, Goldman slides
(ps4up,
pdf4up, pdf1up)
Also see:
-
Project presentations, Apr 27-29
(dead week)
- Project reports due Apr 30
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Last modified 16 August 2011.