TY - GEN AU - Fernández, Antonio AU - Langseth, Helge AU - Nielsen, Thomas D. AU - Salmerón Cerdán, Antonio PY - 2010 UR - http://hdl.handle.net/10835/1546 AB - Bayesian networks with mixtures of truncated exponentials (MTEs) are gaining popularity as a flexible modelling framework for hybrid domains. MTEs support efficient and exact inference algorithms, but estimating an MTE from data has turned out to be a... LA - en TI - Parameter learning in MTE networks using incomplete data ER -