TY  - JOUR 
AU  - Kuncheva, Ludmila I. .
AU  - Rodríguez Diez, Juan José
PY  - 2018
SN  - 0031-3203
UR  - http://hdl.handle.net/10259/4814
AB  - High-dimensional data with very few instances are typical in many application domains. Selecting a highly discriminative subset of the original features is often the main interest of the end user. The widely-used feature selection protocol for such...
LA  - eng
PB  - Elsevier
KW  - Feature selection
KW  - Wide datasets
KW  - Experimental protoco
KW  - Training/testing
KW  - Cross-validation
KW  - Computer science
KW  - Informática
TI  - On feature selection protocols for very low-sample-size data
DO  - 10.1016/j.patcog.2018.03.012
ER  -