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Explanation-Based Neural Network Learning: A Lifelong Learning Approach

by Sebastian Thrun
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Current price ₹10,900.00
Original price ₹16,769.00
Original price ₹16,769.00
Original price ₹16,769.00
(-35%)
₹10,900.00
Current price ₹10,900.00

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Book cover type: Hardcover
  • ISBN13: 9780792397168
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 264
  • Original Price: EUR 149.99
  • Language: English
  • Edition: 1996
  • Item Weight: 577 grams
  • BISAC Subject(s): Artificial Intelligence / General, Physics / Mathematical & Computational, and General

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.

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