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Explanation-Based Neural Network Learning
Sebastian Thrun
其他書名
A Lifelong Learning Approach
出版Springer Science & Business Media, 2012-12-06
主題Computers / Artificial Intelligence / GeneralScience / Physics / GeneralScience / Physics / Mathematical & ComputationalComputers / Information Technology
ISBN14613138139781461313816
URLhttp://books.google.com.hk/books?id=gPbxBwAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋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.