First meeting
October 10 at 12:20 in BR 417
Please read the following papers prior to that meeting, but come even if you can't get them read.

Pizza will be served!

J. R. Quinlan. Induction of decision trees. Machine Learning, 1:81-106, 1986. http://www.cs.utah.edu/classes/cs5350/quinlan86decision.pdf

John, Kohavi and Pfleger. Irrelevant Features and the Subset Selection Problem. Machine Learning, 1994.
http://citeseer.ist.psu.edu/cache/papers/cs/4605/http:zSzzSzwww.stanford.eduzSz~kpflegerzSzcopyzSzpublicationszSzrelevance4.pdf/john94irrelevant.pdf

Optional readings

An Introduction to Variable and Feature Selection
http://www.kernel-machines.org/jmlr/volume3/guyon03a/guyon03a.pdf

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Second meeting
October 24 at 12:20 in BR 417

Quinlan. Bagging, Boosting, and C4.5.
http://citeseer.ist.psu.edu/quinlan96bagging.html

Kohavi. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection.
http://citeseer.ist.psu.edu/kohavi95study.html

Optional readings

Schapire. A Brief Introduction to Boosting.
http://coblitz.codeen.org:3125/citeseer.ist.psu.edu/cache/papers/cs/6687/http:zSzzSzwww.research.att.comzSz~schapirezSzpaperszSzSchapire99c.pdf/schapire99brief.pdf

Provost, Fawcett, and Kohavi. The Case Against Accuracy Estimation for Comparing Induction Algorithms
http://citeseer.ist.psu.edu/28307.html

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Third Meeting
November 7 at 12:20 in BR 417

Wang and Bell.  Extended K-Nearest Neighbours Based on Evidence Theory.  (Bertin)

http://citeseer.ist.psu.edu/713942.html



Next Meeting
November 28 at 12:20 in BR 417



Will resume in January!