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Download Perspectives of Neural-Symbolic Integration (Studies in Computational Intelligence) ePub

by Barbara Hammer,Pascal Hitzler

Download Perspectives of Neural-Symbolic Integration (Studies in Computational Intelligence) ePub
  • ISBN 354073953X
  • ISBN13 978-3540739531
  • Language English
  • Author Barbara Hammer,Pascal Hitzler
  • Publisher Springer; 2007 edition (November 9, 2007)
  • Pages 319
  • Formats azw rtf lrf lrf
  • Category Technology
  • Subcategory Computer Science
  • Size ePub 1402 kb
  • Size Fb2 1622 kb
  • Rating: 4.4
  • Votes: 968

When it comes to robotics and bioinformatics, the Holy Grail everyone is seeking is how to dovetail logic-based inference and statistical machine learning. This volume offers some possible solutions to this eternal problem. Edited with flair and sensitivity by Hammer and Hitzler, the book contains state-of-the-art contributions in neural-symbolic integration, covering `loose' coupling by means of structure kernels or recursive models as well as `strong' coupling of logic and neural networks.


Studies in Computational Intelligence. Perspectives of Neural-Symbolic Integration.

Studies in Computational Intelligence. An essential text that details recent developments in neural-symbolic integration. Covers theoretical foundations as well as algorithmic design.

Электронная книга "Perspectives of Neural-Symbolic Integration", Barbara Hammer, Pascal Hitzler. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Perspectives of Neural-Symbolic Integration" для чтения в офлайн-режиме.

Perspectives of Neural-Symbolic Integration. Book · January 2007 with 1,115 Reads. Although human cognition often involves the interaction of these three abilities, in Artificial Intelligence they are typically studied in isolation

Perspectives of Neural-Symbolic Integration. How we measure 'reads'. Although human cognition often involves the interaction of these three abilities, in Artificial Intelligence they are typically studied in isolation.

Автор: Hammer Barbara, Hitzler Pascal Название: Perspectives of Neural-Symbolic Integration ISBN .

In symbolic integration and summation, not too many algorithms with analyzed run times are known, and until now the mathematically oriented world of integration and summation and the computer science world of algorithm analysis have not had much to say to each other.

Pascal HitzlerLloyd T. Smith Creativity in Engineering Chair, Kansas State . On the approximation capability of recurrent neural networks.

On the approximation capability of recurrent neural networks. Neurocomputing 31 (1-4), 107-123, 2000.

Series: Studies in Computational Intelligence 77. File: PDF, . 7 MB. Читать онлайн.

Unlike their biological counterparts, artificial neural networks do not form such a close liason with symbolic reasoning: logic-based inference mechanisms and statistical machine learning constitute two major and very different paradigms in artificial intelligence with complementary strengths and weaknesses. Series: Studies in Computational Intelligence 77.

Author(s): Barbara Hammer, Pascal Hitzler. Category: Computer Science.

Perspectives of Neural-Symbolic Integration book.

Perspectives of Neural-Symbolic Integration (Studies in Computational Intelligence, Volume 77). Barbara Hammer, Pascal Hitzler. Category: Образование.

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