Multistrategy Learning: A Special Issue of Machine Learning

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Most machine learning research has been concerned with the development of systems that implememnt one type of inference within a single representational paradigm. Such systems, which can be called monostrategy learning systems, include those for empirical induction of decision trees or rules, explanation-based generalization, neural net learning from examples, genetic algorithm-based learning, and others. Monostrategy learning systems can be very effective and useful if learning problems to which they are applied are ...

Multistrategy Learning: A Special Issue of Machine Learning 2012, Springer

ISBN-13: 9781461364054

Softcover Reprint of the Origi edition

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Multistrategy Learning: A Special Issue of Machine Learning 1993, Springer, Boston, MA

ISBN-13: 9780792393740

Hardcover

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