Granular Computing is an emerging conceptual and computing paradigm of information processing. A central notion is an information-processing pyramid with different levels of clari...
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
Abstract. The classical set theory provides a method for comparing objects using cardinality and intersection, in combination with well-known resemblance coefficients such as Dice,...
Sergio Jimenez, Fabio Gonzalez, Alexander F. Gelbu...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
: In Bayesian identification an ID source is in conflict with the other ID sources, if both provide substantially different, reliable information on a tracked object. After discuss...