Recently, there is a growing interest in working with tree-structured data in different applications and domains such as computational biology and natural language processing. Mor...
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
In today’s technical world (e.g., in the automotive industry), more and more purely mechanical components get replaced by electro-mechanical ones. Thus the size and complexity o...
Raimund Kirner, Roland Lang, Gerald Freiberger, Pe...
This document describes an ongoing commercial project that aims to model the cultural heritage domain in an ontology, containing data from eleven types of heritages, from bibliogra...