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Explanation-Based Neural Network Learning

A Lifelong Learning Approach

  • Sebastian┬áThrun

Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 357)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Sebastian Thrun
    Pages 1-17
  3. Sebastian Thrun
    Pages 19-48
  4. Sebastian Thrun
    Pages 49-92
  5. Sebastian Thrun
    Pages 93-129
  6. Sebastian Thrun
    Pages 131-176
  7. Sebastian Thrun
    Pages 177-193
  8. Back Matter
    Pages 195-264

About this book

Introduction

Lifelong learning addresses situations in which a learner faces a series of different learning tasks providing the opportunity for synergy among them. Explanation-based neural network learning (EBNN) is a machine learning algorithm that transfers knowledge across multiple learning tasks. When faced with a new learning task, EBNN exploits domain knowledge accumulated in previous learning tasks to guide generalization in the new one. As a result, EBNN generalizes more accurately from less data than comparable methods. Explanation-Based Neural Network Learning: A Lifelong Learning Approach describes the basic EBNN paradigm and investigates it in the context of supervised learning, reinforcement learning, robotics, and chess.
`The paradigm of lifelong learning - using earlier learned knowledge to improve subsequent learning - is a promising direction for a new generation of machine learning algorithms. Given the need for more accurate learning methods, it is difficult to imagine a future for machine learning that does not include this paradigm.'
From the Foreword by Tom M. Mitchell.

Keywords

algorithms artificial neural network knowledge learning lifelong learning machine learning neural networks reinforcement learning robot robotics supervised learning

Authors and affiliations

  • Sebastian┬áThrun
    • 1
  1. 1.Carnegie Mellon UniversityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-1381-6
  • Copyright Information Springer-Verlag US 1996
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-8597-7
  • Online ISBN 978-1-4613-1381-6
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site
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