Concept formation knowledge and experience in unsupervised learning

Douglas Fisher, Michael J. Pazzani, Pat Langley B

1991-09-01other206 citationsclosed

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Categorization, perception, and language Neural Networks and Applications Machine Learning and Algorithms

Abstract

Concept Formation: Knowledge and Experience in Unsupervised Learning presents the interdisciplinary interaction between machine learning and cognitive psychology on unsupervised incremental methods. This book focuses on measures of similarity, strategies for robust incremental learning, and the psychological consistency of various approaches.Organized into three parts encompassing 15 chapters, this book begins with an overview of inductive concept learning in machine learning and psychology, with emphasis on issues that distinguish concept formation from more prevalent supervised methods and f

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