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.

• Type: Journal
• Year: 2002
• Where: ECCC
• Authors: Nader H. Bshouty, Lynn Burroughs
• Keywords: Axis-parallel Concept Classes, Axis-parallel Concepts, Constant-dimensional Axis-parallel Concepts, ECCC 2002