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Item Details
Title: EXPLANATION-BASED NEURAL NETWORK LEARNING
A LIFELONG LEARNING APPROACH
By: Sebastian Thrun
Format: Paperback

List price: £162.00


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ISBN 10: 1461285976
ISBN 13: 9781461285977
Publisher: SPRINGER-VERLAG NEW YORK INC.
Pub. date: 17 October, 2011
Edition: Softcover reprint of the original 1st ed. 1996
Series: The Springer International Series in Engineering and Computer Science 357
Pages: 264
Synopsis: 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.
Illustrations: XVI, 264 p.
Publication: US
Imprint: Springer-Verlag New York Inc.
Returns: Returnable
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