Explanation-Based Neural Network Learning: A Lifelong Learning Approach - The Springer International Series in Engineering and Computer Science 357 (Paperback)
  • Explanation-Based Neural Network Learning: A Lifelong Learning Approach - The Springer International Series in Engineering and Computer Science 357 (Paperback)
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Explanation-Based Neural Network Learning: A Lifelong Learning Approach - The Springer International Series in Engineering and Computer Science 357 (Paperback)

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£162.00
Paperback 264 Pages / Published: 17/10/2011
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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.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781461285977
Number of pages: 264
Weight: 434 g
Dimensions: 235 x 155 x 15 mm
Edition: Softcover reprint of the original 1st ed. 199

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