Classification problems are traditionally focused on uniclass samples, that is, each sample of the training and test sets has one unique label, which is the target of the classific...
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
An infinite binary sequence x is defined to be (i) strongly useful if there is a computable time bound within which every decidable sequence is Turing reducible to x; and (ii) w...
The goal of this work is to visualize inheritance in objectoriented programs to help its comprehension. We propose a single, compact view of all class hierarchies at once using a ...
Generality or refinement relations between different theories have important applications to generalization in inductive logic programming, refinement of ontologies, and coordin...