In the general classification context the recourse to the so-called Bayes decision rule requires to estimate the class conditional probability density functions. In this paper we p...
We consider discrete possibilistic systems for which the available information is given by one-step transition possibilities and initial possibilities. These systems can be repres...
The nature of map generalization may be non-uniform along the length of an individual line, requiring the application of methods that adapt to the local geometry and the geographi...
In this paper, we present a stochastic language model for Japanese using dependency. The prediction unit in thismodel isallattributeof "bunsetsu". This isrepresented by ...
We present a framework for utilizing context-awareness for classifying services. We also present a novel RDFbased model for context-aware reasoning in pervasive computing environm...