J. Richard

Artificial Intelligence · with Bruder · 2011

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Richard trusts overall

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

  1. Ingrid Daubechies
  2. Robert Tibshirani
  3. William S. Cleveland
  4. Stéphane Mallat
  5. Yuhai Wu
  6. Robert Fildes

Papers from J. Richard's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. A training algorithm for optimal margin classifiers
  3. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
  4. Ten Lectures on Wavelets
  5. Robust Locally Weighted Regression and Smoothing Scatterplots
  6. Statistical Learning Theory
  7. Empirical mode decomposition as a filter bank (IEEE Signal Processing Letters)
  8. Forecasting structural time series models and the kalman filter: Andrew Harvey, 1989, (Cambridge University Press), 554 pp., ISBN 0-521-32196-4
  9. The Making of "Estimation of Common Long-Memory Components in Cointegrated Systems"
  10. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation

Their papers