Çataltepe, Zehra and Magdon-Ismail, Malik (1998) Incorporating Test Inputs into Learning. In: Advances in Neural Information Processing Systems 10 (NIPS 1997). Advances in Neural Information Processing Systems. No.10. MIT Press , Cambridge, MA, pp. 437-443. ISBN 0-262-10076-2. https://resolver.caltech.edu/CaltechAUTHORS:20160223-162630923
![[img]](https://authors.library.caltech.edu/style/images/fileicons/application_pdf.png) |
PDF
- Published Version
See Usage Policy. 1MB |
Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20160223-162630923
Abstract
In many applications, such as credit default prediction and medical image recognition, test inputs are available in addition to the labeled training examples. We propose a method to incorporate the test inputs into learning. Our method results in solutions having smaller test errors than that of simple training solution, especially for noisy problems or small training sets.
| Item Type: | Book Section | ||||||
|---|---|---|---|---|---|---|---|
| Related URLs: |
| ||||||
| Additional Information: | © 1998 Massachusetts Institute of Technology. We would like to thank the Caltech Learning Systems Group: Prof. Yaser Abu-Mostafa, Dr. Amir Atiya, Alexander Nicholson, Joseph Sill and Xubo Song for many useful discussions. | ||||||
| Series Name: | Advances in Neural Information Processing Systems | ||||||
| Issue or Number: | 10 | ||||||
| Record Number: | CaltechAUTHORS:20160223-162630923 | ||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20160223-162630923 | ||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
| ID Code: | 64700 | ||||||
| Collection: | CaltechAUTHORS | ||||||
| Deposited By: | INVALID USER | ||||||
| Deposited On: | 24 Feb 2016 19:13 | ||||||
| Last Modified: | 03 Oct 2019 09:40 |
Repository Staff Only: item control page
