TY  - GEN 
AU  - Abellán Mulero, Joaquín
AU  - Mantas Ruiz, Carlos Javier
AU  - García Castellano, Francisco Javier
AU  - Moral García, Serafín
PY  - 2018
UR  - https://hdl.handle.net/10481/88516
AB  - Random Forest (RF) learning algorithm is considered a classifier of reference due its excellent performance. Its success is based on the diversity of rules generated from decision trees that are built via a procedure that randomizes instances and...
LA  - eng
PB  - Elsevier
KW  - Classification
KW  - Ensemble schemes
KW  - Random forest
KW  - Imprecise probabilities
KW  - Uncertainty measures
TI  - Increasing diversity in Random Forest learning algorithm via imprecise probabilities
DO  - 10.1016/j.eswa.2017.12.029
ER  -