William Noble Grundy

Proceedings of the National Academy of Sciences of the United States of America · 1998–2001

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Whom William Noble Grundy trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. Tommi S. Jaakkola
  3. Amos Bairoch
  4. Anders Krogh
  5. William R. Pearson
  6. Stephen F. Altschul

Who trusts William Noble Grundy overall

  1. Sean R. Eddy
  2. Eric P. Nawrocki
  3. Ketil Malde
  4. T. Furmanek
  5. Thomas G. Dietterich
  6. Ashok Kumar Dwivedi
  7. Hidde de Jong
  8. Jin Huang
  9. Mehmet Gönen
  10. Minghua Deng

Papers from William Noble Grundy's perspective

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

  1. Neural Networks for Pattern Recognition
  2. Introduction to Support Vector Machines
  3. Exploiting Generative Models in Discriminative Classifiers
  4. Knowledge-based analysis of microarray gene expression data by using support vector machines. (Proceedings of the National Academy of Sciences of the United States of America)
  5. Pattern classification and scene analysis
  6. Feature Selection for SVMs (Neural Information Processing Systems)
  7. Using the Fisher Kernel Method to Detect Remote Protein Homologies
  8. Fisher discriminant analysis with kernels
  9. Support vector machine classification and validation of cancer tissue samples using microarray expression data (Bioinform.)
  10. Gradient-based learning applied to document recognition

Their papers