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Erschienen in:
1998 | OriginalPaper | Buchkapitel
Learning to Learn: Introduction and Overview
verfasst von : Sebastian Thrun, Lorien Pratt
Erschienen in: Learning to Learn
Verlag: Springer US
Enthalten in: Professional Book Archive
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Over the past three decades or so, research on machine learning and data mining has led to a wide variety of algorithms that learn general functions from experience. As machine learning is maturing, it has begun to make the successful transition from academic research to various practical applications. Generic techniques such as decision trees and artificial neural networks, for example, are now being used in various commercial and industrial applications (see e.g., [Langley, 1992; Widrow et al., 1994]).