Incorporating Test Inputs into Learning
Abstract
In many applications, such as credit default prediction and medical im(cid:173) age recognition, test inputs are available in addition to the labeled train(cid:173) 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.
Cite
Text
Cataltepe and Magdon-Ismail. "Incorporating Test Inputs into Learning." Neural Information Processing Systems, 1997.Markdown
[Cataltepe and Magdon-Ismail. "Incorporating Test Inputs into Learning." Neural Information Processing Systems, 1997.](https://mlanthology.org/neurips/1997/cataltepe1997neurips-incorporating/)BibTeX
@inproceedings{cataltepe1997neurips-incorporating,
title = {{Incorporating Test Inputs into Learning}},
author = {Cataltepe, Zehra and Magdon-Ismail, Malik},
booktitle = {Neural Information Processing Systems},
year = {1997},
pages = {437-443},
url = {https://mlanthology.org/neurips/1997/cataltepe1997neurips-incorporating/}
}