54 citations · 137 across the 4 of their papers we have counts for
4 papers
Data learning from big data
José L. Torrecilla, Juan Romo
Technology is generating a huge and growing availability of observa tions of diverse nature. This big data is placing data learning as a central scientific discipline. It includes…
Feature selection in functional data classification with recursive maxima hunting
José L. Torrecilla, Alberto Suárez
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 (…
On the use of reproducing kernel Hilbert spaces in functional classification
José R. Berrendero, Antonio Cuevas, José L. Torrecilla
The Hájek-Feldman dichotomy establishes that two Gaussian measures are either mutually absolutely continuous with respect to each other (and hence there is a Radon-Nikodym density…
Variable selection in functional data classification: a maxima-hunting proposal
José R. Berrendero, Antonio Cuevas, José L. Torrecilla
Variable selection is considered in the setting of supervised binary classification with functional data . By "variable selection" we mean any dimension-reduc…