TY  - GEN 
AU  - Romero, Vanessa
AU  - Rumí, Rafael
AU  - Salmerón Cerdán, Antonio
PY  - 2004
UR  - http://hdl.handle.net/10835/1556
AB  - In this paper we introduce a hill-climbing algorithm for structural learning of Bayesian networks from databases with discrete and continuous variables. The process is based on the optimisation of a metric that measures the accuracy of a network...
LA  - en
TI  - Structural Learning of Bayesian Networks with Mixtures of Truncated Exponentials
ER  -