New models and algorithms for semi-naive Bayesian classification focused on the AODE paradigm.

Two different classes were considered, namely: legible and non-legible, and a Multilayer Perceptron (MLP) with a hidden layer was used as classifier.. Signatures were

We have proposed a machine learning algorithm for classification based on association rules, using a rather novel quality measure, the implifidence (see Section 2.1), and a

In the preparation of this report, the Venice Commission has relied on the comments of its rapporteurs; its recently adopted Report on Respect for Democracy, Human Rights and the Rule

In Figure 4.12 we can see how the results that we have obtained look like. We will start analyzing graph a) of spatial noise (add noise xy) which has a very familiar aspect to us, as

These new algorithms optimize the search of the communities using different fitness func- tions, which combine distance metrics based on features of the nodes, with measures related

In the framework of supervised classification (discrimination) for functional data, it is shown that the optimal classification rule can be explicitly obtained for a class of

A new two-tier inverse technique for characterizing coaxial to waveguide transitions based on the use of genetic algorithms and the gradient descent method has been described and

This paper presents a systematic prequalification procedure, based on Fuzzy Set Theory, whose main differences and advantages in comparison with other models are the use of