Roy J. Byrd

2015

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 Roy J. Byrd trusts overall

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

  1. Radford M. Neal

Papers from Roy J. Byrd's perspective

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

  1. Random Forests
  2. Pattern Recognition and Machine Learning
  3. Γ and B
  4. Estimating the Dimension of a Model
  5. Reducing multiclass to binary: a unifying approach for margin classifiers
  6. Bagging Predictors
  7. Boosting the margin: A new explanation for the effectiveness of voting methods
  8. Shape Quantization and Recognition with Randomized Trees
  9. Adaptive Mixtures of Local Experts
  10. Sampling from multimodal distributions using tempered transitions

Their papers