Alex Conconi

Statistical Learning Theory · 2001

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

Whom Alex Conconi trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. Vladimir Naumovich Vapni
  3. Nick Littlestone
  4. Dana Angluin
  5. Luc Devroye
  6. Craig John Saunders
  7. Peter L. Bartlett
  8. Manfred K. Warmuth

Who trusts Alex Conconi overall

  1. Francesco Orabona
  2. Nathan D. Ratliff
  3. Mikhail Khodak
  4. H. Brendan McMahan
  5. John C. Duchi
  6. Shai Shalev-Shwartz
  7. Michael Fink
  8. Ohad Shamir
  9. Vitaly Feldman
  10. J. Bagnell

Papers from Alex Conconi's perspective

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

  1. A Probabilistic Theory of Pattern Recognition
  2. The Nature of Statistical Learning Theory
  3. Statistical learning theory
  4. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm
  5. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities
  6. The perceptron: a probabilistic model for information storage and organization in the brain.
  7. Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning
  8. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  9. Ridge Regression: Biased Estimation for Nonorthogonal Problems
  10. Introduction to Support Vector Machines

Their papers