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

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

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The Gap Between Symbolic and Connectionist Approaches
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    Chapter 3 Spatializing Symbolic Structures for the Gap
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    Chapter 4 The Criteria, Challenges, and the Back-Propagation Method
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    Chapter 5 Design Principles of Geometric Connectionist Machines
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    Chapter 6 A Geometric Connectionist Machine for Word-Senses
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    Chapter 7 Geometric Connectionist Machines for Triple Classification
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    Chapter 8 Resolving the Symbol-Subsymbol Debates
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    Chapter 9 Conclusions and Outlooks
Attention for Chapter 2: The Gap Between Symbolic and Connectionist Approaches
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