Andrzej Ehrenfeucht

Statistical Learning Theory · 1987–2001

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Andrzej Ehrenfeucht trusts overall

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

  1. Leslie G. Valiant
  2. David Haussler
  3. Vladimir Naumovich Vapnik
  4. Michael Kearns
  5. Nick Littlestone

Who trusts Andrzej Ehrenfeucht overall

  1. Olivier Bousquet
  2. Michael Kearns
  3. Stéphane Boucheron
  4. Andrew Y. Ng
  5. Robert E. Schapire
  6. Philip M. Long
  7. Thomas G. Dietterich
  8. Peter L. Bartlett
  9. Alex Smola
  10. David Haussler

Papers from Andrzej Ehrenfeucht's perspective

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

  1. Learning Regular Sets from Queries and Counterexamples
  2. A theory of the learnable
  3. On the learnability of Boolean formulae
  4. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities
  5. Convergence of stochastic processes
  6. Quantifying Inductive Bias: AI Learning Algorithms and Valiant's Learning Framework
  7. Learning structural descriptions from examples
  8. What Size Net Gives Valid Generalization?
  9. Estimation of Dependences Based on Empirical Data
  10. A training algorithm for optimal margin classifiers

Their papers