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The mRMR variable selection method: a comparative study for functional
  data

The mRMR variable selection method: a comparative study for functional data

13 July 2015
J. Berrendero
Antonio Cuevas
J. L. Torrecilla
ArXiv (abs)PDFHTML

Papers citing "The mRMR variable selection method: a comparative study for functional data"

6 / 6 papers shown
Functional relevance based on the continuous Shapley value
Functional relevance based on the continuous Shapley value
Pedro Delicado
Cristian Pachón-García
TDI
333
0
0
27 Nov 2024
Rolling in the deep of cognitive and AI biases
Rolling in the deep of cognitive and AI biases
Athena Vakali
Nicoleta Tantalaki
431
5
0
30 Jul 2024
Functional Neural Networks: Shift invariant models for functional data
  with applications to EEG classification
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classificationInternational Conference on Machine Learning (ICML), 2023
Florian Heinrichs
Mavin Heim
Corinna Weber
OOD
242
12
0
14 Jan 2023
scikit-fda: A Python Package for Functional Data Analysis
scikit-fda: A Python Package for Functional Data AnalysisJournal of Statistical Software (JSS), 2022
Carlos Ramos-Carreño
J. L. Torrecilla
Miguel Carbajo-Berrocal
P. Marcos
A. Suárez
GPAI4CE
457
46
0
04 Nov 2022
Feature selection in functional data classification with recursive
  maxima hunting
Feature selection in functional data classification with recursive maxima hunting
J. L. Torrecilla
A. Suárez
121
7
0
07 Jun 2018
On the use of reproducing kernel Hilbert spaces in functional
  classification
On the use of reproducing kernel Hilbert spaces in functional classificationJournal of the American Statistical Association (JASA), 2015
J. Berrendero
Antonio Cuevas
J. L. Torrecilla
307
60
0
15 Jul 2015
1
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