This paper describes the conceptual and algorithmic evolutions of Memory Based Parametric Equalization (MPEQ) needed to exploit the potentialities of the method within the state-o...
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...
Aleks Jakulin, Ivan Bratko, Dragica Smrke, Janez D...
Object caching is often used to improve the performance of mobile applications, but the gain is often lessened by the additional load of maintaining consistency between an origina...
The Semantic Web emphasizes encoding over modeling. It is built on the premise that ontology engineers can say something useful about the semantics of vocabularies by expressing th...
Dynamic software bug detection tools are commonly used because they leverage run-time information. However, they suffer from a fundamental limitation, the Path Coverage Problem: t...