Michael L. Kalish

Artificial Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael L. Kalish trusts overall

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

  1. Simon Kirby
  2. David John Cameron MacKay
  3. John R. Anderson
  4. Roger N. Shepard
  5. David E. Rumelhart
  6. Greg C. G. Wei
  7. Gersende Fort
  8. Kenny Smith
  9. Radford M. Neal
  10. Martin A. Nowak

Papers from Michael L. Kalish's perspective

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

  1. Information Theory, Inference, and Learning Algorithms
  2. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  3. Computational and evolutionary aspects of language (Nature)
  4. Evolution of universal grammar. (Science)
  5. Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks
  6. The Adaptive Character of Thought
  7. Connectionist Learning of Belief Networks
  8. A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms
  9. Foundations of Statistical Natural Language Processing
  10. Toward a universal law of generalization for psychological science.

Their papers