Michael Casey

Model Architectures · 1996

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Casey trusts overall

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

  1. Jeffrey L. Elman
  2. John J. Hopfield

Who trusts Michael Casey overall

  1. P. Rodríguez
  2. J. Urgen Schmidhuber
  3. Henrik Jacobsson
  4. Alan D. Blair
  5. Mikael Bodén
  6. Peter Tino
  7. Zidong Wang
  8. Ramón P. Ñeco
  9. Yurong Liu
  10. Guo-Zheng Sun

Papers from Michael Casey's perspective

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

  1. Learning internal representations by error propagation
  2. Neural networks and physical systems with emergent collective computational abilities.
  3. A Focused Backpropagation Algorithm for Temporal Pattern Recognition
  4. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
  5. Learning and relearning in Boltzmann machines
  6. Generalization of backpropagation with application to a recurrent gas market model
  7. A learning algorithm for analog, fully recurrent neural networks
  8. The Utility Driven Dynamic Error Propagation Network
  9. Learning State Space Trajectories in Recurrent Neural Networks
  10. Parallel Networks that Learn to Pronounce English Text

Their papers