Entropy is the concepts from science of information must be used in situation where undefined behaviors parameters are unknown. The behavior casual representing processes under investigation a problem that essay explores many angles. provided uniformity criterion, which was developed utilizing maximum entropy metric, has high efficiency and straightforward implementation manual computation, com...

Abstract During cerebral revascularization surgeries, blood flow values help surgeons to monitor the quality of procedure, e.g., avoid hyperperfusion syndrome due excessively enhanced perfusion. The state-of-the-art technique is ultrasonic probe that has be placed around vessel. This causes contact between and vessel, which, in worst case, leads rupture. recently developed intraoperative indocy...

Abstract Even in the field of electromagnetic compatibility, low measurement uncertainty means high quality. Although there are standardized procedures for obtaining such a measurement, which facilitate estimation, modern approaches show further reduction possibilities. The paper presents an alternative approach to reducing instrument case interference based on many years our experience and lar...

We consider forecasting with uncertainty about the choice of predictor variables. The researcher wants to select a model, estimate the parameters, and use this for forecasting. We investigate the distributional properties of a number of different schemes for model choice and parameter estimation: in-sample model selection using the Akaike information criterion, out-of-sample model selection, an...

Geographic Information Systems (GIS) often use incomplete and uncertain information leading to inconsistency. Thus, a clear definition of information revision is required. In logic, most of the usual belief revision operations are characterized by a high computational complexity, which implies actual intractability even for rather small data sets. On the other hand, GIS deal with large amounts ...