| 书目名称 | Explanation-Based Neural Network Learning |
| 副标题 | A Lifelong Learning |
| 编辑 | Sebastian Thrun |
| 视频video | http://file.papertrans.cn/320/319352/319352.mp4 |
| 丛书名称 | The Springer International Series in Engineering and Computer Science |
| 图书封面 |  |
| 描述 | Lifelong learning addresses situations in which a learner facesa series of different learning tasks providing the opportunity forsynergy among them. Explanation-based neural network learning (EBNN)is a machine learning algorithm that transfers knowledge acrossmultiple learning tasks. When faced with a new learning task, EBNNexploits domain knowledge accumulated in previous learning tasks toguide generalization in the new one. As a result, EBNN generalizesmore accurately from less data than comparable methods..Explanation-Based Neural Network Learning: A Lifelong Learning..Approach. describes the basic EBNN paradigm and investigates itin the context of supervised learning, reinforcement learning,robotics, and chess. ..`.The paradigm of lifelong learning - using earlierlearned knowledge to improve subsequent learning - is apromising direction for a new generation of machine learningalgorithms. Given the need for more accurate learning methods, it isdifficult to imagine a future for machine learning that does notinclude this paradigm..‘. .From the Foreword by Tom M. Mitchell. |
| 出版日期 | Book 1996 |
| 关键词 | algorithms; artificial neural network; knowledge; learning; lifelong learning; machine learning; neural ne |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4613-1381-6 |
| isbn_softcover | 978-1-4612-8597-7 |
| isbn_ebook | 978-1-4613-1381-6Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Kluwer Academic Publishers 1996 |
|Archiver|手机版|小黑屋|
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