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...
Asıl Yazarlar: | Morales, María, Rodríguez, Carmelo, Salmerón Cerdán, Antonio |
---|---|
Materyal Türü: | info:eu-repo/semantics/report |
Dil: | English |
Baskı/Yayın Bilgisi: |
2012
|
Online Erişim: | http://hdl.handle.net/10835/1547 |
Benzer Materyaller
-
Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials
Yazar:: Gámez Martín, José Antonio, ve diğerleri
Baskı/Yayın Bilgisi: (2012) -
Learning naive Bayes regression models with missing data using mixtures of truncated exponentials
Yazar:: Fernández, Antonio, ve diğerleri
Baskı/Yayın Bilgisi: (2012) -
Parameter Estimation in Mixtures of Truncated Exponentials
Yazar:: Langseth, Helge, ve diğerleri
Baskı/Yayın Bilgisi: (2012) -
Approximate Probability Propagation with Mixtures of Truncated Exponentials*
Yazar:: Rumí, Rafael, ve diğerleri
Baskı/Yayın Bilgisi: (2017) -
Estimating mixtures of truncated exponentials from data
Yazar:: Moral, Serafín, ve diğerleri
Baskı/Yayın Bilgisi: (2012)