University of Tennessee Martin - Computer Science
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University of Tennessee at Martin
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Tennessee
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Tennessee
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The University of Tennessee at Martin
Martin
Tennessee
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University of Tennessee at Martin
Martin
Tennessee
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The University of Tennessee at Martin
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Learning CP-net Preferences Online from User Queries
We present an online
heuristic algorithm for learning Conditional Preference networks (CP-nets) from user queries. This is the first efficient and resolute CP-net learning algorithm: if a preference\norder can be represented as a CP-net
our algorithm learns a CP-net in time $n^p$
where $p$ is a bound on the number of parents a node may have. The learned CP-net is guaranteed to be consistent with the original CP-net on all queries from the learning process. We tested the algorithm on randomly generated CP-nets; the learned CP-nets agree with the originals on a high percent of non-training preference comparisons.
Learning CP-net Preferences Online from User Queries
Guerin
University of Tennessee at Martin