Jos De Brabanter

Artificial Intelligence · 2002

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Jos De Brabanter trusts overall

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

  1. Johan A. K. Suykens
  2. Babak Hassibi
  3. Craig John Saunders
  4. Joos Vandewalle

Who trusts Jos De Brabanter overall

  1. Cédric Richard
  2. Haifeng Wang
  3. Ravinesh C. Deo
  4. Vojislav Kecman
  5. Guanghua Hu
  6. David Martens
  7. José Carlos Moreira Bermudez
  8. Antti Sorjamaa

Papers from Jos De Brabanter's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Atomic Decomposition by Basis Pursuit
  3. Introduction to Support Vector Machines
  4. An Equivalence Between Sparse Approximation and Support Vector Machines
  5. Multilayer feedforward networks are universal approximators
  6. Neural Networks for Pattern Recognition
  7. Second Order Derivatives for Network Pruning: Optimal Brain Surgeon
  8. Recurrent least squares support vector machines
  9. Optimal control by least squares support vector machines (Neural Networks)
  10. Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)

Their papers