Explanation-Based Neural Network Learning (häftad)
Format
Inbunden (Hardback)
Språk
Engelska
Serie
Springer International Series in Engineering and Computer Science (del 357)
Antal sidor
264
Utgivningsdatum
1996-04-30
Förlag
Springer
Dimensioner
234 x 156 x 18 mm
Vikt
577 g
ISBN
9780792397168

Explanation-Based Neural Network Learning

A Lifelong Learning Approach

Inbunden,  Engelska, 1996-04-30
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Finns även som
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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