R. Cano

2004

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

Whom R. Cano trusts overall

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

  1. David Ruppert

Who trusts R. Cano overall

  1. Subimal Ghosh

Papers from R. Cano's perspective

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

  1. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences
  4. Ideal spatial adaptation by wavelet shrinkage
  5. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
  6. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  7. Sliced Inverse Regression for Dimension Reduction
  8. Modern Applied Statistics with S-Plus.
  9. Smoothing Spline Anova Models
  10. Direct generalized additive modeling with penalized likelihood

Their papers