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Opis

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.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Computer science Artificial intelligence

• Pełny tytuł: Explanation-Based Neural Network Learning
• Podtytuł: A Lifelong Learning Approach
• Autor: Sebastian Thrun
• Język: Angielski
• Oprawa: Twarda
• Liczba stron: 264
• EAN: 9780792397168
• ISBN: 0792397169
• ID: 05251377
• Wydawca: Springer, Berlin
• Waga: 576 g
• Wymiary: 234 × 156 × 17 mm
• Rok wydania: 1996

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