Proceedings:
No. 1: Agents, AI in Art and Entertainment, Knowledge Representation, and Learning
Volume
Issue:
Proceedings of the AAAI Conference on Artificial Intelligence, 13
Track:
Inductive Learning
Downloads:
Abstract:
Inductive algorithms rely strongly on their representational biases, Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relative gain measure and describes a new constructive induction algorithm (GALA) which is independent of the learning algorithm. Unlike most previous research on constructive induction, our methods are designed as preprocessing step before standard machine learning algorithms are applied. We present the results which demonstrate the effectiveness of GALA on artificial and real domains for several learners: C4.5, CN2, perceptron and backpropagation.
AAAI
Proceedings of the AAAI Conference on Artificial Intelligence, 13
ISBN 978-0-262-51091-2