Band 357
Explanation-Based Neural Network Learning A Lifelong Learning Approach
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- Hardcover
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Sprache:Englisch
Fr. 191.00
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Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
17.10.2011
Verlag
Springer UsSeitenzahl
264
Maße (L/B/H)
23.5/15.5/1.6 cm
Gewicht
435 g
Auflage
Softcover reprint of the original 1st ed. 1996
Sprache
Englisch
ISBN
978-1-4612-8597-7
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.
` 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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