2 citations · 2 across the 3 of their papers we have counts for
3 papers
A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks
Jorge D. Laborda, Pablo Torrijos, José M. Puerta +1
Learning Bayesian Networks (BNs) from high-dimensional data is a complex and time-consuming task. Although there are approaches based on horizontal (instances) or vertical (variabl…
MiniAnDE: a reduced AnDE ensemble to deal with microarray data
Pablo Torrijos, José A. Gámez, José M. Puerta
This article focuses on the supervised classification of datasets with a large number of variables and a small number of instances. This is the case, for example, for microarray da…
Incremental Compilation of Bayesian networks
Julia M. Flores, Jose A. Gamez, Kristian G. Olesen
Most methods of exact probability propagation in Bayesian networks do not carry out the inference directly over the network, but over a secondary structure known as a junction tree…