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Abstract: There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order instances given feedback in the form of preference judgments, i.e., statements to the effect that one instance should be ranked ahead of another. We outline a two-stage approach in which one first learns by conventional means a binary preference function indicating whether it is advisable to rank one instance before another. Here we consider an... (Update)
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BibTeX entry: (Update)
William W. Cohen, Robert E. Schapire, and Yoram Singer. Learning to order things. In Advances in Neural Processing Systems 10, Denver, CO, 1997. MIT Press. http://citeseer.ist.psu.edu/article/cohen98learning.html More
@inproceedings{ cohen98learning,
author = "William W. Cohen and Robert E. Schapire and Yoram Singer",
title = "Learning to Order Things",
booktitle = "Advances in Neural Information Processing Systems",
volume = "10",
publisher = "The {MIT} Press",
editor = "Michael I. Jordan and Michael J. Kearns and Sara A. Solla",
year = "1998",
url = "citeseer.ist.psu.edu/article/cohen98learning.html" }
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