We consider the problem of modeling network interactions and identifying latent groups of network nodes. This problem is challenging due to the facts i) that the network nodes are...
Robert Rosen’s central theorem states that organisms are fundamentally different to machines, mainly because they are ‘‘closed with respect to effcient causation.’’ The p...
In recent years, there have been several proposals that extend the expressive power of Bayesian networks with that of relational models. These languages open the possibility for t...
This paper regards the recurrent linguistic rule bases. These systems are considered as relational models with several relations. Such representation allows to use relation algebr...
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...