Art Munson

Artificial Intelligence · 2006

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Art Munson trusts overall

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

  1. J. Platt
  2. David Hilton Wolpert
  3. Alexandru Niculescu-Mizil
  4. R. Caruana
  5. Fabio Roli
  6. Robert K. Bryll
  7. Trevor J. Hastie
  8. Robert P. W. Duin
  9. Leo Breiman

Who trusts Art Munson overall

  1. Matthias Feurer
  2. Katharina Eggensperger
  3. Wei Xiong

Papers from Art Munson's perspective

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

  1. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  2. Random Forests
  3. Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
  4. Predicting good probabilities with supervised learning
  5. The combining classifier: to train or not to train? (Object recognition supported by user interaction for service robots)
  6. Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets (Pattern Recognition)
  7. Methods for Designing Multiple Classifier Systems
  8. Original Contribution: Stacked generalization
  9. Ensemble selection from libraries of models
  10. Bagging Predictors

Their papers