An entire family of methodologies for predicting protein interactions is based on the observed fact that families of interacting proteins tend to have similar phylogenetic trees d...
Data related to the coordination and modulation between visual information, gaze direction and arm reaching movements in primates are analyzed from a computational point of view. T...
Stochastically searching the space of candidate clauses is an appealing way to scale up ILP to large datasets. We address an approach that uses a Bayesian network model to adaptive...
Transitional Interfaces have emerged as a new way to interact and collaborate between different interaction spaces such as Reality, Virtual Reality and Augmented Reality. In this ...
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...