Explanation-Based Neural Network Learning: A Lifelong Learning Approach (The Springer International Series in Engineering and Computer Science, 357)
ISBN-13:
9781461285977
ISBN-10:
1461285976
Edition:
Softcover reprint of the original 1st ed. 1996
Author:
Sebastian Thrun
Publication date:
2011
Publisher:
Springer
Format:
Paperback
280 pages
Category:
Mathematical Physics
,
Physics
FREE US shipping
Book details
ISBN-13:
9781461285977
ISBN-10:
1461285976
Edition:
Softcover reprint of the original 1st ed. 1996
Author:
Sebastian Thrun
Publication date:
2011
Publisher:
Springer
Format:
Paperback
280 pages
Category:
Mathematical Physics
,
Physics
Summary
Explanation-Based Neural Network Learning: A Lifelong Learning Approach (The Springer International Series in Engineering and Computer Science, 357) (ISBN-13: 9781461285977 and ISBN-10: 1461285976), written by authors
Sebastian Thrun, was published by Springer in 2011.
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Description
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.
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