Joshua D. Baron

Journal of Learning Analytics · 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 Joshua D. Baron trusts

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

  1. C. Burges (in Statistical Learning Theory)

Papers from Joshua D. Baron's perspective

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

  1. A Tutorial on Support Vector Machines for Pattern Recognition
  2. An introduction to ROC analysis
  3. Guest editorial data mining and knowledge discovery with evolutionary algorithms (IEEE Transactions on Evolutionary Computation)
  4. Learning analytics and educational data mining: towards communication and collaboration (International Conference on Learning Analytics and Knowledge)
  5. An empirical study of the naive Bayes classifier
  6. Data mining methods and models
  7. Analytics in Higher Education: Establishing a Common Language
  8. The Need for Biases in Learning Generalizations
  9. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  10. Pattern classification and scene analysis

Their papers