-Description: Blabla TODO
-Authors: Benjamin Auder <Benjamin.Auder@math.u-psud.fr> [aut,cre],
- Jean-Michel Poggi <Jean-Michel.Poggi@parisdescartes.fr> [ctb],
- Bruno Portier <Bruno.Portier@insa-rouen.fr>, [ctb]
+Description: As the title suggests, past predictions of a set of given experts
+ are aggregated until time t to predict at time t+1, (generally) as a weighted
+ sum of values at time t. Several weights optimization algorithm are compared:
+ exponential weights, MLPoly, and some classical statistical learning procedures
+ (Ridge, SVM...).
+Author: Benjamin Auder <Benjamin.Auder@math.u-psud.fr> [aut,cre],
+ Jean-Michel Poggi <Jean-Michel.Poggi@parisdescartes.fr> [ctb],
+ Bruno Portier <Bruno.Portier@insa-rouen.fr>, [ctb]