Charles Bergeron

Statistical Learning Theory · 2008–2012

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Charles Bergeron trusts overall

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

  1. Stuart Andrews
  2. Joseph F. Murray
  3. John Shawe-Taylor
  4. Jun Wang
  5. Yuh-Jye Lee
  6. Yixin Chen
  7. Ioannis Tsochantaridis
  8. Gordon F. Hughes
  9. Sally A. Goldman
  10. Thorsten Joachims

Who trusts Charles Bergeron overall

  1. Marc-Andre Carbonneau
  2. Waqas Sultani
  3. Mandar Joshi
  4. Uma Sawant
  5. Veronika Cheplygina
  6. Mubarak Shah
  7. Eric Granger
  8. Soumen Chakrabarti
  9. Zoltán Szabó
  10. Ghyslain Gagnon

Papers from Charles Bergeron's perspective

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

  1. Solving the Multiple Instance Problem with Axis-Parallel Rectangles
  2. A training algorithm for optimal margin classifiers
  3. The Nature of Statistical Learning Theory
  4. Solving the Multiple-Instance Problem: A Lazy Learning Approach
  5. Optimizing search engines using clickthrough data
  6. Multi-Instance Kernels
  7. Support Vector Machines for Multiple-Instance Learning
  8. Multiple Instance Regression
  9. Kernel Methods for Pattern Analysis
  10. Gradient-based learning applied to document recognition

Their papers