David E. Huber

2001

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

Whom David E. Huber trusts overall

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

  1. John J. Hopfield

Papers from David E. Huber's perspective

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

  1. Neural networks and physical systems with emergent collective computational abilities.
  2. On a Measure of the Information Provided by an Experiment
  3. Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition
  4. Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation
  5. Neurons with graded response have collective computational properties like those of two-state neurons.
  6. This PDF file includes: Materials and Methods
  7. Best practices for convolutional neural networks applied to visual document analysis
  8. Deep Sparse Rectifier Neural Networks
  9. A Fast Learning Algorithm for Deep Belief Nets
  10. Random feedback weights support learning in deep neural networks

Their papers