We present a new identification scheme which is based on Legendre symbols modulo a certain hidden prime and which is naturally suited for low power, low memory applications. 1 Ove...
Abstract. This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar–basedclassification, on the Word Sens...
Abstract. A well-known problem in program generation is scoping. When identifiers (i.e., symbolic names) are used to refer to variables, types, or functions, program generators mu...
This paper presents a neural network approach to the problem of nding the dialogue act for a given utterance. So far only symbolic, decision tree and statistical approaches were ut...
This paper presents semantic approach for a solution of the problem of interoperability for virtual worlds. The semantic of virtual worlds and virtual entities is described using ...