Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Explanation-Based Neural Network Learning: A Lifelong Learning Approach

Explanation-Based Neural Network Learning: A Lifelong Learning Approach

Thrun, Sebastian

Paperback

Series: The Springer International Engineering and Computer Science, Book 357

General ComputersGeneral Graphic NovelsPhysics

ISBN10: 1461285976
ISBN13: 9781461285977
Publisher: Springer Nature
Published: Oct 17 2011
Pages: 264
Weight: 0.88
Height: 0.60 Width: 6.14 Depth: 9.21
Language: English
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.

1 different editions

Also available

Also in

General Computers

View All