Toward Parallel and Distributed Learning by Meta-Learning

Abstract

Much of the research in inductive learning concentrates on problems with relatively small amounts of data. With the coming age of very large network computing, it is likely that orders of magnitude more data in databases will be available for various learning problems of real world importance. Learning techniques are central to knowledge discovery and the… (More)

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