Bernhard Sch lkopf

Artificial Intelligence · 2005

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Bernhard Sch lkopf trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. Vladimir Naumovich Vapni

Who trusts Bernhard Sch lkopf overall

  1. Martin Jaggi
  2. Diana Benavides Prado
  3. Patricia J. Riddle
  4. Alice Este
  5. Francesco Gringoli
  6. Luca Salgarelli
  7. Michel Vacher
  8. Clément Maria
  9. Bernd Gärtner
  10. Anthony Fleury

Papers from Bernhard Sch lkopf's perspective

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

  1. Statistical learning theory
  2. The Nature of Statistical Learning Theory
  3. Fast Training of Support Vector Machines using Sequential Minimal Optimization
  4. Support-Vector Networks
  5. Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning
  6. Bounds on Error Expectation for Support Vector Machines (Neural Computation)
  7. New Support Vector Algorithms
  8. Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations
  9. Improving the accuracy and speed of support vector learning machines
  10. Duality and Geometry in SVM Classifiers

Their papers