Systems That Learn: An Introduction to Learning Theory / Edition 2

Systems That Learn: An Introduction to Learning Theory / Edition 2

by Sanjay Jain, Daniel N. Osherson, James S. Royer, Arun Sharma
     
 

ISBN-10: 0262100770

ISBN-13: 9780262100779

Pub. Date: 02/12/1999

Publisher: MIT Press

Formal learning theory is one of several mathematical approaches to the study of intelligent adaptation to the environment. The analysis developed in this book is based on a number theoretical approach to learning and uses the tools of recursive-function theory to understand how learners come to an accurate view of reality. This revised and expanded edition of a

Overview

Formal learning theory is one of several mathematical approaches to the study of intelligent adaptation to the environment. The analysis developed in this book is based on a number theoretical approach to learning and uses the tools of recursive-function theory to understand how learners come to an accurate view of reality. This revised and expanded edition of a successful text provides a comprehensive, self-contained introduction to the concepts and techniques of the theory. Exercises throughout the text provide experience in the use of computational arguments to prove facts about learning.

Product Details

ISBN-13:
9780262100779
Publisher:
MIT Press
Publication date:
02/12/1999
Series:
Learning, Development, and Conceptual Change
Edition description:
second edition
Pages:
329
Product dimensions:
7.30(w) x 9.00(h) x 1.00(d)
Age Range:
18 Years

Table of Contents

Series Foreword
Preface
I Fundamentals of Learning Theory
1 Introduction
2 Formalities
3 Identification
4 Identification by Computable Scientists
II Fundamental Prardigms Generalized
5 Strategies for Learning
6 Criteria of Learning
7 Inference of ApproXimations
8 Environments
III Additional Topics
9 Team and Probabilistic Learning
10 Learning with Additional Information
11 Learning with Oracles
12 CompleXity Issues in Identification
13 Beyond Identification by Enumeration
Bibliography
Notation IndeX
Author and Subject IndeX

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