Anita C. Faul

International Conference on Artificial Intelligence and Statistics · 2001–2005

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Whom Anita C. Faul trusts overall

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

  1. David John Cameron MacKay
  2. Charles M. Bishop
  3. Michael E. Tipping
  4. Vladimir Naumovich Vapnik
  5. Scott Shaobing Chen

Who trusts Anita C. Faul overall

  1. Shihao Ji
  2. Radford M. Neal
  3. Volker Roth
  4. Constantin Grigo
  5. Giacomo Oliveri
  6. Carl E. Rasmussen
  7. Michael E. Tipping
  8. Christos Louizos
  9. Cédric Archambeau
  10. Lawrence Carin

Papers from Anita C. Faul's perspective

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

  1. The Evidence Framework Applied to Classification Networks
  2. Statistical learning theory
  3. Fast Training of Support Vector Machines using Sequential Minimal Optimization
  4. Bayesian Interpolation
  5. Atomic Decomposition by Basis Pursuit
  6. Support-Vector Networks
  7. Analysis of Sparse Bayesian Learning (Neural Information Processing Systems)
  8. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine
  9. Probabilistic Methods for Support Vector Machines
  10. Pattern Recognition and Neural Networks

Their papers