A novel maximal figure-of-merit (MFoM) learning approach to text categorization is proposed. Different from the conventional techniques, the proposed MFoM method attempts to integ...
The goal of this paper is to present a computational framework that enables us to generate elementary speech act sequences in a dialogue between an electronic assistant and a compu...
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...
In this paper we discuss how the concept of ontology can be beneficial for the authoring support of Web-based educational systems (WBES). We take a semantic perspective on the know...
: A data warehouse is a database focused on decision making. It is built separately from the transactional (OLTP) databases of the enterprise, although it is partly fed from transa...