Anselm Blumer

Statistical Learning Theory · 1987–1989

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Anselm Blumer 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. Dana Angluin
  6. Patrick Henry Winston
  7. David S. Johnson
  8. Ming Li

Who trusts Anselm Blumer overall

  1. Michael Kearns
  2. Robert E. Schapire
  3. Olivier Bousquet
  4. Adam R. Klivans
  5. Thomas G. Dietterich
  6. Shai Ben-David
  7. Gilles Louppe
  8. Jonathan Baxter
  9. Dmitry Gavinsky
  10. David Haussler

Papers from Anselm Blumer's perspective

Ordered by how strongly the researchers Anselm Blumer 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. Learning structural descriptions from examples
  7. Quantifying Inductive Bias: AI Learning Algorithms and Valiant's Learning Framework
  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