Explanation-Based Neural Network Learning
Format: Paperback
ISBN13: 9781461313823
Paperback|9781461313823
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Overview
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.
| ISBN-13 | 9781461313823 |
|---|---|
| ISBN-10 | 1461313821 |
| Weight | 0.89 Pounds |
| Dimensions | 6.14 x 0.60 x 9.21 In |
| List Price | $24.99 |
| Format | Paperback |
|---|---|
| Language | English |
| Pages | 284 pages |
| Publisher | Springer |
| Published On | 1996-04-30 |
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