this paper proposes improvements and revisions to a recent approach in a voting system, and provides an effective approach with a stronger discriminate power. for this purpose, the advantage of a linear transformation is utilized to redene a previously used concept of virtual worst candidate, by incorporating the existing weight restrictions. then, the best score of this virtual candidate is u...

This paper presents MMM and MMC, two methods for combining knowledge from a variety of prediction models. Some of these models may have been created by hand while others may be the result of empirical learning over an available set of data. The approach consists of learning a set of \Referees", one for each prediction model, that characterize the situations in which each of the models is able t...

Research on indoor navigation models mainly focuses on geometric and logical models .The models are enriched with specific semantic information which supports localisation, navigation and guidance. Geometric models provide information about the structural (physical) distribution of spaces in a building, while logical models indicate relationships (connectivity and adjacency) between the spaces....