This paper addresses the genre classification problem for a specific subset of music, standard and Latin ballroom dance music, using a classification method based only on timing information. We compare two methods of extracting periodicities from audio recordings in order to find the metrical hierarchy and timing patterns by which the style of the music can be recognised: the first method perfo...

Individual preferences are now at the center of the medical decision-making process. Different experimental methods are used to determine preferences. Psychometricians use direct observation of a subject’s reaction in a particular pathological situation: patients are asked to arrange the intensity of the impacts on numerical ordinal scales, but an actual metrical measure is not yet available. T...

We present an approach to defining Hilbert spaces of functions depending on infinitely many variables or parameters, with emphasis on a weighted tensor product construction based on stable space splittings. The construction has been used in an exemplary way for guiding dimensionand scale-adaptive algorithms in application areas such as statistical learning theory, reduced order modeling, and in...

The vast majority of medical computer-based training (CBT) systems aim at problem-oriented case based training. A crucial issue in the design of CBT systems is the selection of appropriate cases for a representative collection of medical cases. Another issue is the presentation of those case collections to the users. Training systems often provide a simple numbered list (e.g. Case 1, Case 2, .....

Often, about the same real-life system, we have both measurementrelated probabilistic information expressed by a probability measure P (S) and expert-related possibilistic information expressed by a possibility measure M(S). To get the most adequate idea about the system, we must combine these two pieces of information. For this combination, R. Yager – borrowing an idea from fuzzy logic – propo...

We propose a description of continuous evolution of systems with uncertainty based on min or product t-norms of fuzzy logic. We show that the dynamics has a Hamiltonian form in the extended state space composed from “physical” and “information” components if the min t-norm is used. This description is useful when available information on a system behavior is mainly ordinal and not numerical. If...

In this work we reconsider Harsanyi’s celebrated (1953, 1955, 1977) utilitarian impartial observer theorem. Departing from Harsanyi’s individual-centered approach, we argue that, when societal decisions are at stake, postulates must not be drawn from individualistic behavior. Rather, they should be based on societal norms. Hence, notions like societal fairness should explicitly be taken as the ...

this paper assumes the cell formation problem as a distributed decision network. it proposes an approach based on application and extension of information theory concepts, in order to analyze informational complexity in an agent- based system, due to interdependence between agents. based on this approach, new quantitative concepts and definitions are proposed in order to measure the amount of t...