This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...
Software design models are routinely adapted to domains, companies, and applications. This requires customizable consistency checkers that allow engineers to dynamically adapt mode...
Abstract. Object models capture key properties of object-oriented architectures, and they can highlight relationships between types, occurrences of sharing, and object encapsulatio...
In the paper we present a dynamic model of knowledge. The model is inspired by public announcement logic and an approach to a puzzle concerning knowledge and communication using th...
Pawel Garbacz, Piotr Kulicki, Marek Lechniak, Robe...
This study develops a novel model, GA-SVR, for parameters optimization in support vector regression and implements this new model in a problem forecasting maximum electrical daily...