Social Network Analysis has emerged as a key paradigm in modern sociology, technology, and information sciences. The paradigm stems from the view that the attributes of an individ...
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...
Deeply embedded infrastructures are pervasive systems that have significant cyber and physical components, interacting with each other in complex ways. These interactions can vio...
While the use of software component models has become popular in the development of desktop applications and distributed information systems, such models have not been widely used...