John Q. Gan

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John Q. Gan trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. Grace Wahba
  3. W. Härdle
  4. Serge Guillaume
  5. Trevor J. Hastie
  6. Robert Tibshirani
  7. Michael S. Lewicki
  8. Terrence J. Sejnowski
  9. Henri Prade
  10. Hirotugu Akaike

Papers from John Q. Gan's perspective

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

  1. Estimating the Dimension of a Model
  2. Spline Models for Observational Data
  3. Generalized Additive Models
  4. Atomic Decomposition by Basis Pursuit
  5. The Nature of Statistical Learning
  6. Learning Overcomplete Representations (Neural Computation)
  7. Theory of Reproducing Kernels.
  8. Solutions of ill-posed problems
  9. Mercer kernel-based clustering in feature space (IEEE Trans. Neural Networks)
  10. A novel kernel method for clustering (IEEE Transactions on Pattern Analysis and Machine Intelligence)

Their papers