Christian Bessiere

Australian Conference on Artificial Intelligence · 2006–2009

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Whom Christian Bessiere trusts overall

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

  1. Matthew W. Moskewicz
  2. J. Ross Quinlan
  3. Paul E. Utgoff
  4. Neil C. Berkman
  5. Lintao Zhang
  6. Fadime Üney Yüksektepe

Who trusts Christian Bessiere overall

  1. Arnold Neumaier
  2. Alexey Ignatiev
  3. Sicco Verwer
  4. Florent Avellaneda
  5. David Dufour
  6. Simon Lacoste-Julien
  7. Mikoláš Janota
  8. Sebastian Ordyniak
  9. Nina Narodytska
  10. Gaël Aglin

Papers from Christian Bessiere's perspective

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

  1. C4.5: Programs for Machine Learning
  2. Induction of decision trees
  3. Chaff: engineering an efficient SAT solver (Proceedings - Design Automation Conference)
  4. Principles of constraint programming
  5. Decision Tree Induction Based on Efficient Tree Restructuring
  6. A Mixed-Integer Programming Approach to Multi-Class Data Classification Problem by
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. A Case Study of Incremental Concept Induction
  9. Decision tree reduction
  10. Modeling By Shortest Data Description*

Their papers