: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
The algebraic hierarchical decomposition of finite state automata can be applied wherever a finite system should be `understood' using a hierarchical coordinate system. Here ...
Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...
Sotiris B. Kotsiantis, Ioannis D. Zaharakis, Panay...
In this paper, we introduce a system, written in Haskell, for filtering information from XML data. Essentially, the system implements a simple declarative language which allows on...
A novel method for the robust identification of interpretable fuzzy models, based on the criterion that identification errors are least sensitive to data uncertainties and modelli...