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Incorporating Test Inputs into Learning

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.

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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.

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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
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:64700
Deposited On:24 Feb 2016 19:13
Last Modified:03 Oct 2019 09:40

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