Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
In previous empirical work humans did not recognize the definition of most topological operators for regions by their names in two geospatial information systems (GIS). This work d...
This paper explores how to characterise security properties of software components, and how to reason about their suitability for a trustworthy compositional contract. Our framewo...
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
—This paper presents the design of BAUT, a tutoring system that explores statistical approach for providing instant project failure analysis. Driven by a Bayesian Network (BN) in...