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A Geometric Approach to the Unification of Symbolic Structures and Neural Networks|Tiansi Dong

A Geometric Approach to the Unification of Symbolic Structures and Neural Networks

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Overview

Introduction.- The Gap between Symbolic and Connectionist Approaches.- Spatializing Symbolic Structures for the Gap.- The Criteria, Challenges, and the Back-Propagation Method.- Design Principles of Geometric Connectionist Machines.- A Geometric Connectionist Machine for Word-Senses.- Geometric Connectionist Machines for Triple Classification.- Conclusions & Outlooks.

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Details

  • ISBN-13: 9783030562779
  • ISBN-10: 3030562778
  • Publisher: Springer
  • Publish Date: August 2021
  • Dimensions: 9.21 x 6.14 x 0.36 inches
  • Shipping Weight: 0.54 pounds
  • Page Count: 145

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