Raoul S. Kallabis

2006

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Raoul S. Kallabis trusts overall

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

  1. Andrew R. Barron
  2. Jérôme Dedecker
  3. Clémentine Prieur

Who trusts Raoul S. Kallabis overall

  1. Paul Doukhan
  2. Michael H. Neumann
  3. Christos Pelekis

Papers from Raoul S. Kallabis's perspective

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

  1. A new covariance inequality and applications
  2. Coupling for τ-Dependent Sequences and Applications
  3. Universal approximation bounds for superpositions of a sigmoidal function
  4. Approximation and estimation bounds for artificial neural networks (Machine-mediated learning)
  5. The Elements of Statistical Learning
  6. Information Theory and an Extension of the Maximum Likelihood Principle
  7. An Information Measure for Classification
  8. Minimum complexity density estimation
  9. Universal modeling and coding
  10. A Formal Theory of Inductive Inference. Part II

Their papers