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Abstract: This paper introduces a new representation for Boolean functions, called decision lists,
and shows that they are eciently learnable from examples. More precisely, this result
is established for \k-DL" { the set of decision lists with conjunctive clauses of size k at
each decision. Since k-DL properly includes other well-known techniques for representing
Boolean functions such as k-CNF (formulae in conjunctive normal form with at most k
literals per clause), k-DNF (formulae in disjunctive... (Update)
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BibTeX entry: (Update)
R.L. Rivest. Learning decision lists. Machine Learning, 2(3):229--246, 1987. http://citeseer.ist.psu.edu/rivest87learning.html More
@article{ rivest87learning,
author = "Ronald L. Rivest",
title = "Learning Decision Lists",
journal = "Machine Learning",
volume = "2",
number = "3",
pages = "229-246",
year = "1987",
url = "citeseer.ist.psu.edu/rivest87learning.html" }
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