Learning to Learn: Automatic Adaptation of Learning Bias

Abstract

Traditionally, large areas of research in machine learning have concentrated on pattern recognition and its application to many diversified problems both within the realm of AI as well as outside of it. Over several decades of intensified research, an array of learning methodologies have been proposed, accompanied by attempts to evaluate these methods, with… (More)

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Cite this paper

@inproceedings{Romaniuk1994LearningTL, title={Learning to Learn: Automatic Adaptation of Learning Bias}, author={Steve G. Romaniuk}, booktitle={AAAI}, year={1994} }