We propose a concept that combines the cognitive with the computational approaches to experience-based trust reasoning. We emphasize that a cognitive component is vital for computa...
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
A model of unrestricted And-parallel execution for logic programs is described, based on Dependency Directed Backtracking (DDBT) aimed at improving the efficiency of execution whi...
This paper consists of two parts. The first part is the development of a datadriven Kalman filter for a non-uniformly sampled multirate (NUSM) system, including identification of ...
In this paper we define the Weak Mutual Exclusion (WME) problem. Analogously to classical Distributed Mutual Exclusion (DME), WME serializes the accesses to a shared resource. Di...