Paper Info
Title
Incorporating test inputs into learning
Abstract
In many applications, such as credit default prediction and medical im- age recognition, test inputs are available in addition to the labeled train- ing 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.
Year
Venue
Keywords
1997
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
incorporating test input
Field
DocType
Volume
Credit default swap,Computer science,Artificial intelligence,Machine learning
Conference
10
ISSN
ISBN
Citations 
1049-5258
0-262-10076-2
2
PageRank 
References 
Authors
0.39
3
2
Name
Order
Citations
PageRank
Zehra Cataltepe116616.39
Malik Magdon-Ismail2914104.34