Constrained Naïve Bayes with application to unbalanced data classification
Year of publication: |
2022
|
---|---|
Authors: | Blanquero, Rafael ; Carrizosa, Emilio ; Ramírez-Cobo, Pepa ; Sillero-Denamiel, M. Remedios |
Published in: |
Central European journal of operations research. - Heidelberg : Physica-Verl., ISSN 1613-9178, ZDB-ID 2093829-9. - Vol. 30.2022, 4, p. 1403-1425
|
Subject: | Constrained optimization | Efficiency measures | Naïve Bayes | Parameter estimation | Probabilistic classification | Bayes-Statistik | Bayesian inference | Mathematische Optimierung | Mathematical programming | Schätztheorie | Estimation theory | Wahrscheinlichkeitsrechnung | Probability theory |
-
Rankability and linear ordering problem : probabilistic insight and algorithms
Szczecinski, Leszek, (2023)
-
Variable selection for Naïve Bayes classification
Blanquero, Rafael, (2021)
-
Coherent stress testing : a Bayesian approach to the analysis of financial stress
Rebonato, Riccardo, (2010)
- More ...
-
Variable selection for Naïve Bayes classification
Blanquero, Rafael, (2021)
-
On sparse ensemble methods : an application to short-term predictions of the evolution of COVID-19
Benítez-Peña, Sandra, (2021)
-
Cost-sensitive probabilistic predictions for support vector machines
Benítez-Peña, Sandra, (2024)
- More ...