Reading Assignment 3
Here are three different papers dealing with ensemble methods. You
have to choose one of these papers, read it and write a short
summary (maximum two pages, 10 point font). Your summary should
contain the following points (not necessarily in this order):
- The main idea expressed in the paper
- The theoretical justification
of the idea
- Empirical support provided by the experiments in the
- What you liked or disliked about the paper
- Questions you had about the paper, aspects you did not understand
You should bring your summary to class on Tuesday, October 30..
Be prepared to shortly summarize the paper in front of your colleagues
and participate in discussion.
The papers for this reading assignment are:
T. G. Dietterich. (2000).
An experimental comparison of three methods for
constructing ensembles of decision trees: Bagging, boosting, and
randomization. In Machine Learning, 40(2):139-158.
R. E. Schapire, Y. Freund, P. Bartlett and W. S. Lee. (1998).
Boosting the margin: A new explanation for the
effectiveness of voting methods. In The Annals of Statistics, 26(5):1651-1686.
L. Breiman (1996). Bias, variance, and arcing classifiers Technical Report 460, Statistics Department, University of California.
Prof. Doina PRECUP
Last modified: Mon Oct 22 17:22:09 EDT 2001