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Trajectories through Knowledge Space Book

Trajectories through Knowledge Space
Trajectories through Knowledge Space, Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension provides an overview of many of the main ideas of connectionism (neural networks) and probabilistic natural language processing. Several areas of common overlap between th, Trajectories through Knowledge Space has a rating of 3.5 stars
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Trajectories through Knowledge Space, Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension provides an overview of many of the main ideas of connectionism (neural networks) and probabilistic natural language processing. Several areas of common overlap between th, Trajectories through Knowledge Space
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  • Trajectories through Knowledge Space
  • Written by author Lawrence A. Bookman
  • Published by Springer-Verlag New York, LLC, December 2009
  • Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension provides an overview of many of the main ideas of connectionism (neural networks) and probabilistic natural language processing. Several areas of common overlap between th
  • Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension provides an overview of many of the main ideas of connectionism (neural networks) and probabilistic natural language processing. Several areas of common overlap betwee
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Book Categories

Authors

List Of Figures
List Of Tables
Foreword
Preface
1Introduction1
2An Overview of Connectionist and Probabilistic Approaches to Language Processing23
3Memory Architecture49
4The Basic Computation65
5Analysis of the Interpretation at the Relational and ASF Level99
6Reasoning from the Relational Level of the Representation127
7Experiments in Acquiring Knowledge from On-line Corpora139
8An Analysis of the Acquired Knowledge165
9Conclusions191
10Future Directions205
App. A: The ASFs Used in the LeMICON Experiments211
App. B: A Formal Analysis of the Dynamics217
App. C: Sample Parsed Input to LeMICON227
App. D: Additional Results with SSS229
App. E: Proof of the Boundedness of the Measure [actual symbol not reproducible]233
App. F: The Dictionary Trees that Describe the Class "Space"235
References237
Author Index259
Subject Index265


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Trajectories through Knowledge Space, Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension provides an overview of many of the main ideas of connectionism (neural networks) and probabilistic natural language processing. Several areas of common overlap between th, Trajectories through Knowledge Space

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Trajectories through Knowledge Space, Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension provides an overview of many of the main ideas of connectionism (neural networks) and probabilistic natural language processing. Several areas of common overlap between th, Trajectories through Knowledge Space

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