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explanation-based neural network learning: a lifelong learning approach (en Inglés)
Sebastian Thrun
(Autor)
·
Springer
· Tapa Blanda
explanation-based neural network learning: a lifelong learning approach (en Inglés) - Thrun, Sebastian
S/ 742,70
S/ 1.485,40
Ahorras: S/ 742,70
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Reseña del libro "explanation-based neural network learning: a lifelong learning approach (en Inglés)"
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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