Section: New Results
Resampling and learning
Participant : Alain Célisse.
This aim is to study the nearest neighbors algorithm in binary classification in two different cases: Passive and active learning. The choice of is addressed by cross-validation (resampling). In particular, we try to discover the influence of the cutting parameter on which depends the cross-validation with the retained value.
It is a joined work with Tristan Mary-Huard [16] .