2016
Feature selection in functional data classification with recursive maxima hunting
NeurIPS 2016poster
Dimensionality reduction is one of the key issues in the design of effective machine learning methods for automatic induction. In this work, we introduce recursive maxima hunting (RMH) for variable selection in classification problems with functional data. In this context, variable selection techni…