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Connectionism

Known as: Connectionist revolution, Parallel Distributed Processing, Relational network 
Connectionism is a set of approaches in the fields of artificial intelligence, cognitive psychology, cognitive science, neuroscience, and philosophy… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Lots of learning tasks require dealing with graph data which contains rich relation information among elements. Modeling physics… Expand
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Highly Cited
2013
Highly Cited
2013
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… Expand
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Highly Cited
2010
Highly Cited
2010
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results… Expand
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Highly Cited
2005
Highly Cited
2005
 
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Highly Cited
2004
Highly Cited
2004
This article presents a general class of associative reinforcement learning algorithms for connectionist networks containing… Expand
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Highly Cited
1998
Highly Cited
1998
Contents: Preface. J.R. Anderson, C. Lebiere, Introduction. J.R. Anderson, C. Lebiere, Knowledge Representation. J.R. Anderson, C… Expand
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Highly Cited
1992
Highly Cited
1992
This article presents a general class of associative reinforcement learning algorithms for connectionist networks containing… Expand
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Highly Cited
1990
Highly Cited
1990
  • J. Elman
  • Cogn. Sci.
  • 1990
  • Corpus ID: 2763403
Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very… Expand
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Highly Cited
1989
Highly Cited
1989
  • T. Kohonen
  • Springer Series in Information Sciences
  • 1989
  • Corpus ID: 120780324
 
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Highly Cited
1989
Highly Cited
1989
Author(s): Freeman, Walter J, III | Abstract: Paul Smolensky's marvelous neologisitc epithet "neuromacho" should not be allowed… Expand
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