Subrata Chakraborty

Statistics and Probability · with Roy · 2023

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Subrata Chakraborty trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Siu-Kui Au
  3. Richard G. Brereton
  4. Jean-Marc Bourinet
  5. Olivier Chapelle
  6. James L. Beck
  7. Gavin Rhys Lloyd

Papers from Subrata Chakraborty's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Assessing small failure probabilities by combined subset simulation and Support Vector Machines
  3. Choosing Multiple Parameters for Support Vector Machines
  4. Support vector machines for classification and regression. (In Analysis)
  5. Estimation of Small Failure Probabilities in High Dimensions by Subset Simulation
  6. Estimating the Dimension of a Model
  7. Gradient-based learning applied to document recognition
  8. Neural Networks for Pattern Recognition
  9. A training algorithm for optimal margin classifiers
  10. Statistical learning theory

Their papers