Bruno Vandaele

IEEE Trans. Neural Networks · 2001

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Bruno Vandaele trusts

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

  1. David John Cameron MacKay (in Probabilistic & Bayesian Methods)
  2. Yuhai Wu (in Artificial Intelligence)

Papers from Bruno Vandaele's perspective

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

  1. Statistical Learning Theory
  2. Introduction to Support Vector Machines
  3. Ridge Regression Learning Algorithm in Dual Variables
  4. Bayesian Interpolation
  5. An Equivalence Between Sparse Approximation and Support Vector Machines
  6. Regularization Networks and Support Vector Machines
  7. Recurrent least squares support vector machines
  8. Optimal control by least squares support vector machines (Neural Networks)
  9. Nonlinear Component Analysis as a Kernel Eigenvalue Problem
  10. The Nature of Statistical Learning Theory

Their papers