Abstract. One of the main problems when creating execution-level process models is finding implementations for process activities. Carrying out this activity manually can be time ...
Quantitative measurements of changes in evolving brain pathology, such as multiple sclerosis lesions and brain tumors, are important for clinicians to perform pertinent diagnoses a...
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
: A lot of research has been developed for integrating the analysis functionality that is available in both analytic and geographic processing systems. The main goal is to provide ...
Attentive vision is characterized by selective sensing in space and time as well as selective processing with respect to a specic task. Selection in space involves the splitting ...