Abstract. Abstract interpretation is a particularly well-suited methodology to build modular correctness proof of static analysers. Proof modularity becomes essential when correctn...
Abstract. Stacked generalization is a flexible method for multiple classifier combination; however, it tends to overfit unless the combiner function is sufficiently smooth. Prev...
Existential types provide a simple and elegant foundation for uning generative abstract data types, of the kind supported by the Standard ML module system. However, in attempting ...
In this paper we study a new probability associated with any given belief function b, i.e. the orthogonal projection π[b] of b onto the probability simplex P. We provide an interp...
— This paper shows that the k-means quantization of a signal can be interpreted both as a crisp indicator function and as a fuzzy membership assignment describing fuzzy clusters ...