eBook - PDF

Concept Formation

Name: Concept Formation
Author: Douglas H. Fisher,Michael J. Pazzani,Pat Langley

Knowledge and Experience in Unsupervised Learning

Douglas H. Fisher,

Michael J. Pazzani,

Pat Langley,

488 pages
English
PDF
Available on iOS & Android

eBook - PDF

Concept Formation

Knowledge and Experience in Unsupervised Learning

Douglas H. Fisher,

Michael J. Pazzani,

Pat Langley,

About this book

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.

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Yes, you can access Concept Formation by Douglas H. Fisher,Michael J. Pazzani,Pat Langley in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.