Jon A. Willits

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jon A. Willits trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Pentti Kanerva
  2. Jeffrey L. Elman
  3. Stephen Grossberg
  4. David E. Rumelhart
  5. Marc W Howard
  6. Scott McDonald
  7. Timothy T. Rogers
  8. Geoffrey E. Hinton
  9. Michael J. Kahana
  10. Teuvo Kohonen

Papers from Jon A. Willits's perspective

Ordered by how strongly the researchers Jon A. Willits trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.
  2. Finding Structure in Time
  3. Neural networks and physical systems with emergent collective computational abilities.
  4. Learning representations by back-propagating errors
  5. Concepts, Kinds, and Cognitive Development
  6. A distributed representation of temporal context
  7. Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors
  8. Modelling functional priming and the associative boost
  9. A symbolic-connectionist theory of relational inference and generalization.
  10. A Synopsis of Linguistic Theory, 1930-1955

Their papers