Difference between revisions of "10-601 Bias-Variance"
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=== Slides === | === Slides === | ||
| − | [http:// | + | * William's [http://www.cs.cmu.edu/~wcohen/10-601/bias-variance.ppt Slides in Powerpoint] |
=== Readings === | === Readings === | ||
Revision as of 17:00, 19 October 2014
Slides
- William's Slides in Powerpoint
Readings
- Bishop: Chap 1, 2
- Mitchell: Chap 5, 6
- Feature Selection in Microarray Analysis, E.P. Xing, in D.P. Berrar, W. Dubitzky and M. Granzow (Eds.), A Practical Approach to Microarray Data Analysis, Kluwer Academic Publishers, 2003.
- On Feature Selection: Learning with Exponentially many Irrelevant Features as Training Examples, Andrew Y. Ng. In Proceedings of the Fifteenth International Conference on Machine Learning, 1998.
Take home message
- Overfitting
- kNN
- Regression
- Bias-variance decomposition
- Structural risk minimization
- The battle against overfitting
- Cross validation
- Regularization
- Feature selection
