In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
This paper presents a novel context-based approach to find reliable recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the userā...
Research on mobile robot navigation has produced two major paradigms for mapping indoorenvironments: grid-based and topological. While grid-based methods produce accurate metric m...
ā Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
ā Effective use of support vector machines (SVMs) in classiļ¬cation necessitates the appropriate choice of a kernel. Designing problem speciļ¬c kernels involves the deļ¬nition...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...