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Concept Formation

Knowledge and Experience in Unsupervised Learning

Authors: Douglas H. Fisher, Michael J. Pazzani, Pat Langley Publisher: Elsevier Science Publication date: 2014 Publication language: Angielski Number of pages: 489 Publication formats: EAN: 9781483221168 ISBN: 9781483221168 Category: Computing & information technology Publisher's index: C2013-0-08302-8 Bibliographic note: -

Description

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 from numeric and conceptual clustering. This text then describes the cognitive consistency of two concept formation systems that are motivated by a rational analysis of human behavior relative to a variety of psychological phenomena. Other chapters consider the merits of various schemes for representing and acquiring knowledge during concept formation. This book discusses as well the earliest work in concept formation. The final chapter deals with acquisition of quantity conservation in developmental psychology.

This book is a valuable resource for psychologists and cognitive scientists.

TOC

  • Front Cover 2
  • Concept Formation: Knowledge and Experience in Unsupervised Learning 5
  • Copyright Page 6
  • Dedication 7
  • Table of Contents 9
  • Preface 11
  • Contributors 17
  • Part I: Inductive Approaches to Concept Formation 19
    • CHAPTER 1. Computational Models of Concept Learning 21
      • 1. Introduction 21
      • 2. Supervised Learning 22
      • 3. Unsupervised Learning 30
      • 4. Concept Formation 40
      • 5. Concluding Remarks 52
      • Acknowledgements 53
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