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Více informací o knize Explanation-Based Neural Network Learning

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Explanation-Based Neural Network Learning
• Podnázev: A Lifelong Learning Approach
• Autor: Sebastian Thrun
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 264
• EAN: 9780792397168
• ISBN: 0792397169
• ID: 05251377
• Nakladatelství: Springer, Berlin
• Hmotnost: 576 g
• Rozměry: 234 × 156 × 17 mm
• Rok vydání: 1996

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