TY  - JOUR
AU  - Carrasco, Miguel
AU  - Ivorra, Benjamín Pierre Paul
AU  - López, Julio
AU  - Ramos Del Olmo, Ángel Manuel
PY  - 2024
UR  - https://hdl.handle.net/20.500.14352/107037
AB  - Feature selection is essential for building effective machine learning models in binary classification. Eliminating unnecessary features can reduce the risk of overfitting and improve classification performance. Moreover, the data we handle always has...
LA  - eng
KW  - Cobb-Douglas
KW  - Minimax Probability Machine
KW  - Minimum Error Minimax Probability Machine
KW  - Second-Order Cone Programming
KW  - Support Vector Machines
KW  - Feature Selection
TI  - Embedded Feature Selection for Robust Probability Learning Machines
TY  - journal article
ER  -