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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Explanation-Based Neural Network Learning
• Subtitle: A Lifelong Learning Approach
• Author: Sebastian Thrun
• Language: English
• Binding: Paperback
• Number of pages: 264
• EAN: 9781461285977
• ISBN: 1461285976
• ID: 06795757
• Publisher: Springer, Berlin
• Weight: 434 g
• Dimensions: 235 × 155 × 15 mm
• Date of publishing: 25. July 2012

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