William G. Adams

2014

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

Whom William G. Adams trusts overall

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

  1. Radford M. Neal

Papers from William G. Adams's perspective

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

  1. Support-Vector Networks
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. Pattern Recognition and Machine Learning
  4. A Short Introduction to Boosting
  5. Adaptive Mixtures of Local Experts
  6. Estimating the Dimension of a Model
  7. The Nature of Statistical Learning Theory
  8. Bagging Predictors
  9. Statistical Learning Theory
  10. A training algorithm for optimal margin classifiers

Their papers