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ECCC
2002

On the proper learning of axis parallel concepts

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On the proper learning of axis parallel concepts
We study the proper learnability of axis-parallel concept classes in the PAC-learning and exactlearning models. These classes include union of boxes, DNF, decision trees and multivariate polynomials. For constant-dimensional axis-parallel concepts C we show that the following problems have time complexities that are within a polynomial factor of each other.
Nader H. Bshouty, Lynn Burroughs
Added 18 Dec 2010
Updated 18 Dec 2010
Type Journal
Year 2002
Where ECCC
Authors Nader H. Bshouty, Lynn Burroughs
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