Hallo! Tracked shipping to Netherlands with Delivery Duty Paid for just €7 

Ship to
Netherlands
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada explanation-based neural network learning: a lifelong learning approach
Type
Physical Book
Author
Publisher
Year
2011
Language
English
Pages
264
Format
Paperback
Dimensions
23.4x15.6x1.5 cm
Weight
0.40 kg.
ISBN
1461285976
ISBN13
9781461285977
Categories

explanation-based neural network learning: a lifelong learning approach

Sebastian Thrun (Author) · Springer · Paperback

explanation-based neural network learning: a lifelong learning approach - Thrun, Sebastian

Cheaper New Book Imported to Netherlands
Delivery: 06 Oct - 13 Oct Shipping: 12 to 16 business days.
€ 146,04
Faster New Book Imported to Netherlands
Delivery: 25 Sep - 29 Sep Shipping: 5 to 6 business days.
€ 192,42
Import costs and 9% BTW included in the price ✅
€ 146,04

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "explanation-based neural network learning: a lifelong learning approach"

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.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews