Mikhail F. Kanevski

Statistical Learning Theory · 2009–2017

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Mikhail F. Kanevski trusts overall

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

  1. Leo Breiman
  2. David D. Lewis
  3. Huaiyu Zhu
  4. Naoki Abe
  5. Nicholas A. Roy
  6. Prem Melville
  7. Yuhai Wu
  8. Yoav Freund
  9. Stuart Coles
  10. Andrew McCallum

Who trusts Mikhail F. Kanevski overall

  1. Claudio Persello
  2. Gui-Song Xia
  3. Devis Tuia

Papers from Mikhail F. Kanevski's perspective

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

  1. Statistical Learning Theory
  2. Query by committee
  3. Bagging Predictors
  4. A sequential algorithm for training text classifiers
  5. A training algorithm for optimal margin classifiers
  6. Active Learning with Statistical Models
  7. Support Vector Machine Active Learning with Applications to Text Classification
  8. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  9. A decision-theoretic generalization of on-line learning and an application to boosting
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers