In recent years the increasing use of the WWW in learning environments has enabled the development of different systems for distributing and producing web-based courses. In such s...
Teresa Roselli, Paola Plantamura, Mary Victoria Pr...
Abstract. We present the Acyclic Bayesian Net Generator, a new approach to learn the structure of a Bayesian network using genetic algorithms. Due to the encoding mechanism, acycli...
Simulation beginners often spend a great amount of time to accumulate the knowledge as well as the experience to overcome the technical complexity of computer simulation. Limited ...
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
We propose a novel approach that reduces cost-sensitive classification to one-sided regression. The approach stores the cost information in the regression labels and encodes the m...