Explanation-Based Neural Network Learning: A Lifelong Learning Approach
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.
1117657506
Explanation-Based Neural Network Learning: A Lifelong Learning Approach
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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Explanation-Based Neural Network Learning: A Lifelong Learning Approach
264
Explanation-Based Neural Network Learning: A Lifelong Learning Approach
264Paperback(Softcover reprint of the original 1st ed. 1996)
$169.99
169.99
In Stock
Product Details
ISBN-13: | 9781461285977 |
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Publisher: | Springer US |
Publication date: | 10/17/2011 |
Series: | The Springer International Series in Engineering and Computer Science , #357 |
Edition description: | Softcover reprint of the original 1st ed. 1996 |
Pages: | 264 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.02(d) |
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