Brian J. Clark

Artificial Intelligence · 2016

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

Subfields

Whom Brian J. Clark trusts overall

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

  1. Eric R. Ziegel

Papers from Brian J. Clark's perspective

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

  1. Random Forests
  2. Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning
  3. The Elements of Statistical Learning
  4. The measurement of observer agreement for categorical data.
  5. Consumer Credit Risk Models Via Machine-Learning Algorithms
  6. The Nature of Statistical Learning Theory
  7. Shape Quantization and Recognition with Randomized Trees
  8. Classification and regression trees
  9. A decision-theoretic generalization of on-line learning and an application to boosting
  10. Support-Vector Networks

Their papers