|
|
|
Item Details
Title:
|
EXPLANATION-BASED NEURAL NETWORK LEARNING
A LIFELONG LEARNING APPROACH |
By: |
Sebastian Thrun |
Format: |
Paperback |
List price:
|
£162.00 |
We currently do not stock this item, please contact the publisher directly for
further information.
|
|
|
|
|
ISBN 10: |
1461285976 |
ISBN 13: |
9781461285977 |
Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
Pub. date: |
17 October, 2011 |
Edition: |
Softcover reprint of the original 1st ed. 1996 |
Series: |
The Springer International Series in Engineering and Computer Science 357 |
Pages: |
264 |
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. |
Illustrations: |
XVI, 264 p. |
Publication: |
US |
Imprint: |
Springer-Verlag New York Inc. |
Returns: |
Returnable |
|
|
|
|
Ramadan and Eid al-Fitr
A celebratory, inclusive and educational exploration of Ramadan and Eid al-Fitr for both children that celebrate and children who want to understand and appreciate their peers who do.
|
|
|
|
|
|
|
|
|
|
|