Principled constructive induction

Authors:
Pankaj Mehra;Larry A. Rendell;Benjamin W. Wah
Affiliations:
Coordinated Science Lab., University of Illinois, Urbana, IL;Beckman Institute, University of Illinois, Urbana, IL;Coordinated Science Lab., University of Illinois, Urbana, IL
Venue:
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Year:
1989

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Abstract

A framework for the construction of new features for hard classification tasks is discussed. The approach brings together ideas from the fields of machine learning, computational geometry, and pattern recognition. Two heuristics for evaluation of newly-constructed features are proposed, and their statistical significance verified. Finally, it is shown how the proposed framework can be used to combine techniques for selection of representative examples with techniques for construction of new features, in order to solve difficult problems in learning from examples.