CSCE 478/878 (Fall 2014) lecture slides
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Lectures 0 and 1: Administrivia and Introduction, Aug 26–28, Chapters 1–2
(pdf6up)
Also see:
- Homework 0 due Sep 2
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Lecture 2: Supervised Learning,
Sep 2–4, Chapter 2
(pdf1up,
pdf6up)
- Homework 0.5 due Sep 9
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Lecture 3: Decision Trees,
Sep 4–11, Chapter 9
(pdf1up,
pdf6up)
Also see:
- Homework 1 due Sep 28
- Homework 1.5 due Sep 18
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Lecture 4: Experimental Design and Analysis
Sep 18–25, Chapter 19 and ROC tutorial
(pdf1up,
pdf6up)
Also see:
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Lecture 5: Artificial Neural Networks and Support Vector Machines
Sep 30–Oct 9, Chapters 10, 11, and 13
(pdf1up,
pdf6up)
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Homework 2
due
Thursday, October 23
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Mini-Homework 2.5
due
Friday, October 17
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Lecture 6: Bayesian learning,
Oct 23–30, Chapter 14
(pdf1up, pdf6up)
Also see:
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Homework 3
due Sunday, November 9
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Mini-Homework 3.5
due Friday, November 7
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Lecture 7: Bagging and Boosting,
Nov 4, Chapter 17, Breiman paper, Freund & Schapire paper
(pdf1up, pdf6up)
Also see:
- Leo Breiman.
Bagging predictors.
Technical Report 421. Dept. of Statistics, University of California-Berkeley.
September 1994.
- Yoav Freund and
Robert Schapire.
A short
introduction to boosting. Journal of Japanese Society for Artificial
Intelligence 14(5):771–780, September, 1999. [Other introductory
and advanced papers are available at Freund's and Schapire's pages.]
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Robert Schapire and Yoav Freund.
Boosting: Foundations and Algorithms.
MIT Press, 2012. ISBN 0-262-01718-0.
- Nick Littlestone and
Manfred K. Warmuth.
The weighted majority algorithm.
Information and Computation 108(2):212–261. February 1994.
Lecture 8: Clustering,
Nov 6–13, Chapter 7
(pdf1up,
pdf6up)
Optional Homework 4
due Tuesday, November 25
Lecture 9: Hidden Markov Models,
Nov 13–25, Chapter 7
(pdf1up,
pdf6up)
Also see:
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Biological Sequence Analysis: Probabilistic Models of Proteins and
Nucleic Acids, by Richard Durbin, Sean Eddy, Anders Krogh, and Graeme
Mitchison. Cambridge University Press, 1998. ISBN 0-521-62971-3.
- Section 9.6 of Pattern
Recognition by Sergios Theodoridis and Konstantinos Koutroumbas
- K. Sjölander,
K. Karplus, M. Brown, R. Hughey, A. Krogh, I. S. Mian, and D. Haussler.
Dirichlet mixtures: A method for improving detection of weak but significant
protein sequence homology. Computer Applications in the Biosciences
(CABIOS), 12(4):327–345, 1996.
Lecture 10: How to give a good research talk,
Nov 20
(pdf1up,
pdf6up)
Also see:
Thanksgiving holiday, Nov 27, no class
Project presentations, Dec 2–11
Project reports due Dec 10 15
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