Download PDF BookExplanation-Based Neural Network Learning A Lifelong Learning Approach (The Springer International Series in Engineering and Computer Science)

Read Explanation-Based Neural Network Learning A Lifelong Learning Approach (The Springer International Series in Engineering and Computer Science)



Read Explanation-Based Neural Network Learning A Lifelong Learning Approach (The Springer International Series in Engineering and Computer Science)

Read Explanation-Based Neural Network Learning A Lifelong Learning Approach (The Springer International Series in Engineering and Computer Science)

You can download in the form of an ebook: pdf, kindle ebook, ms word here and more softfile type. Read Explanation-Based Neural Network Learning A Lifelong Learning Approach (The Springer International Series in Engineering and Computer Science), this is a great books that I think are not only fun to read but also very educational.
Book Details :
Published on: 1996-01-01
Released on:
Original language: English
Read Explanation-Based Neural Network Learning A Lifelong Learning Approach (The Springer International Series in Engineering and Computer Science)

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. Artificial intelligence - Wikipedia Artificial intelligence (AI) is intelligence exhibited by machines. In computer science the field of AI research defines itself as the study of "intelligent agents ... Deep learning in neural networks: An overview Preface. This is the preprint of an invited Deep Learning (DL) overview. One of its goals is to assign credit to those who contributed to the present state of the art.
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