Michal Mashiach Eizenberg

2004

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

Whom Michal Mashiach Eizenberg trusts overall

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

  1. Charles M. Bishop

Who trusts Michal Mashiach Eizenberg overall

  1. Elise Lockwood
  2. O. Zaslavsky

Papers from Michal Mashiach Eizenberg's perspective

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

  1. How To Solve It
  2. Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks
  3. PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS
  4. Hierarchical Mixtures of Experts and the EM Algorithm
  5. Information-Based Objective Functions for Active Data Selection
  6. Hybrid Monte Carlo
  7. The Nature of Statistical Learning Theory
  8. On Information and Sufficiency
  9. Pattern Recognition and Neural Networks
  10. Modeling By Shortest Data Description*

Their papers