Bax, Eric (1997) Improved Uniform Test Error Bounds. California Institute of Technology , Pasadena, CA. (Unpublished) https://resolver.caltech.edu/CaltechCSTR:1997.cs-tr-97-15
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Abstract
We derive distribution-free uniform test error bounds that improve on VC-type bounds for validation. We show how to use knowledge of test inputs to improve the bounds. The bounds are sharp, but they require intense computation. We introduce a method to trade sharpness for speed of computation. Also, we compute the bounds for several test cases.
Item Type: | Report or Paper (Technical Report) |
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Additional Information: | © 1997 California Institute of Technology. I thank Dr Joel Franklin for his teaching advice and encouragement I thank Zehra Cataltepe, Sam Roweis, and Joe Sill for their many helpful conversations and pointers to literature in the development of this work. Also thanks to Dr. Yaser Abu-Mostafa for his informative and inspiring teaching. |
Group: | Computer Science Technical Reports |
Subject Keywords: | machine learning learning theory generalization Vapnik-Chervonenkis |
DOI: | 10.7907/Z9959FK4 |
Record Number: | CaltechCSTR:1997.cs-tr-97-15 |
Persistent URL: | https://resolver.caltech.edu/CaltechCSTR:1997.cs-tr-97-15 |
Usage Policy: | You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format. |
ID Code: | 26816 |
Collection: | CaltechCSTR |
Deposited By: | Imported from CaltechCSTR |
Deposited On: | 25 Apr 2001 |
Last Modified: | 03 Oct 2019 03:18 |
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