Selective naive Bayes predictor with mixtures of truncated exponentials
Naive Bayes models have been successfully used in classification problems where the class variable is discrete. Naive Bayes models have been applied to regression or prediction problems, i.e. classification problems with continuous class, but usually under the assumption that the joint distribution...
Egile Nagusiak: | Morales, María, Rodríguez, Carmelo, Salmerón Cerdán, Antonio |
---|---|
Formatua: | info:eu-repo/semantics/report |
Hizkuntza: | English |
Argitaratua: |
2012
|
Sarrera elektronikoa: | http://hdl.handle.net/10835/1547 |
Antzeko izenburuak
-
Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials
nork: Gámez Martín, José Antonio, et al.
Argitaratua: (2012) -
Learning naive Bayes regression models with missing data using mixtures of truncated exponentials
nork: Fernández, Antonio, et al.
Argitaratua: (2012) -
Parameter Estimation in Mixtures of Truncated Exponentials
nork: Langseth, Helge, et al.
Argitaratua: (2012) -
Approximate Probability Propagation with Mixtures of Truncated Exponentials*
nork: Rumí, Rafael, et al.
Argitaratua: (2017) -
Estimating mixtures of truncated exponentials from data
nork: Moral, Serafín, et al.
Argitaratua: (2012)