TY  - GEN 
AU  - Fernández, Antonio
AU  - Nielsen, Jens D.
AU  - Salmerón Cerdán, Antonio
PY  - 2010
UR  - http://hdl.handle.net/10835/4887
AB  - In this paper we address the problem of inducing Bayesian network models for regression from incomplete databases. We use mixtures of truncated exponentials (MTEs) to represent the joint distribution in the induced networks. We consider two particular...
LA  - en
KW  - Bayesian netwoorks
KW  - Regression
KW  - Mixtures of truncated exponentials
KW  - Missing data
TI  - LEARNING BAYESIAN NETWORKS FOR REGRESSION FROM INCOMPLETE DATABASES
DO  - https://doi.org/10.1142/S0218488510006398
ER  -