Incremental Version-Space Merging: A General Framework for Concept Learning.pdf

Incremental Version-Space Merging: A General Framework for Concept Learning

Haym Hirsh

One of the most enjoyable experiences in science is hearing a simple but novel idea which instantly rings true, and whose consequences then begin to unfold in unforeseen directions. For me, this book presents such an idea and several of its ramifications. This book is concerned with machine learning. It focuses on a ques tion that is central to understanding how computers might learn: how can a computer acquire the definition of some general concept by abstracting from specific training instances of the concept? Although this question of how to automatically generalize from examples has been considered by many researchers over several decades, it remains only partly answered. The approach developed in this book, based on Haym Hirshs Ph.D. dis sertation, leads to an algorithm which efficiently and exhaustively searches a space of hypotheses (possible generalizations of the data) to find all maxi mally consistent hypotheses, even in the presence of certain types of incon sistencies in the data. More generally, it provides a framework for integrat ing different types of constraints (e.g., training examples, prior knowledge) which allow the learner to reduce the set of hypotheses under consideration.

Incremental Version-Space Merging: A General Framework for Concept Learning The Springer International Series in Engineering and Computer Science: Amazon.es: Haym Hirsh: Libros en …

1.14 MB DATEIGRÖSSE
1461288347 ISBN
Englisch SPRACHE
Incremental Version-Space Merging: A General Framework for Concept Learning.pdf

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Sofia Voigt

to use in describing the concept and deciding how to combine those features. ... de nitions help to illustrate some of the general goals of feature selection algorithms. ... D over the instance space, and a target function c from examples to labels. ... De nition 5 (Incremental usefulness) Given a sample of data S, a learning ...

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Matteo Müller

Incremental Version-Space Merging | SpringerLink The chapter begins with a description of the new, generalized form of version spaces. This is followed by a description of version-space merging, an algorithm for intersecting two version spaces in boundary-set notation. The chapter concludes with a description of its use in incremental version-space merging.

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Noel Schulze

Incremental version-space merging: a general framework for concept learning / by Haym Hirsh. p. cm. - (The Kluwer international series in engineering and computer science. Knowledge representation, learning, and eXpert systems) Includes bibliographical references and index. ISBN 978-1-4612-8834-3 e-ISBN-13: 978-1-4613-1557-5 Incremental Version-Space Merging | SpringerLink

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Jason Lehmann

Incremental Version-Space Merging: A General … Pris: 1369 kr. Häftad, 2011. Skickas inom 10-15 vardagar. Köp Incremental Version-Space Merging: A General Framework for Concept Learning av Haym Hirsh på Bokus.com.

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Jessica Kohmann

Incremental Version-Space Merging: A General … Get this from a library! Incremental Version-Space Merging: A General Framework for Concept Learning. [Haym Hirsh] -- One of the most enjoyable experiences in science is hearing a simple but novel idea which instantly rings true, and whose consequences then begin to unfold in …