Representation and Processing of Structures with Binary Sparse Distributed Codes

No abstract is available for this paper.

• Publication year

  2001

• Venue

  IEEE Transactions on Knowledge and Data Engineering

• Publication date

  2001-03-01

• Fields of study

  Physics, Computer Science

• Identifiers
  DOI 10.1109/69.917565
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Latent semantic analysis

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  2001influential reference
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  2000influential reference
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  1998cited by this paper
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  1998cited by this paper
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  1997cited by this paper
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  1997influential reference
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  1997cited by this paper
• A Neural Net Model for Mapping Hierarchically Structured Analogs

  1997influential reference
• Structure mapping in analogy and similarity.

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  1995influential reference
• Holographic reduced representations

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  1988cited by this paper
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  1987cited by this paper
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  1985cited by this paper
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  year unknowncited by this paper

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