Brandon Pearcy

2006

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 Brandon Pearcy trusts

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

  1. Vladimir Naumovich Vapnik (in Statistical Learning Theory)

Who trusts Brandon Pearcy

  1. Igor Kononenko (in Safety, Robustness & Interpretability)
  2. Erik Strumbelj (in Safety, Robustness & Interpretability)

Papers from Brandon Pearcy's perspective

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

  1. A training algorithm for optimal margin classifiers
  2. The Nature of Statistical Learning
  3. Optimizing search engines using clickthrough data
  4. The Nature of Statistical Learning Theory
  5. The Elements of Statistical Learning
  6. Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations
  7. Pattern Classification
  8. Introduction to machine learning
  9. Estimating the Dimension of a Model
  10. Statistical learning theory

Their papers