Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...
Event based simulations are an important scientific application in many fields. With the rise of cluster computing, distributed event simulation optimization becomes an essential ...
The aim of this paper is to build a formal model for similarity-based fuzzy unification in multi-adjoint logic programs. Specifically, a general framework of logic programming whi...
COMMUNITY is a formal approach to software architecture. Its main characteristics are: a precise, yet intuitive mathematical semantics based on categorical diagrams; a clear separ...
In this article we show that there is a strong connection between decision tree learning and local pattern mining. This connection allows us to solve the computationally hard probl...