In this paper, we present a new approach for word sense disambiguation (WSD) using an exemplar-based learning algorithm. This approach integrates a diverse set of knowledge source...
ing the differential semantics of rule-based models: exact and automated model reduction (Invited Lecture) Vincent Danos∗§, J´erˆome Feret†, Walter Fontana‡, Russell Harme...
The number of embedded systems is increasing and a remarkable percentage is designed as mobile applications. For the latter, the energy consumption is a limiting factor because of...
Stefan Steinke, Lars Wehmeyer, Bo-Sik Lee, Peter M...
MDM is a tool that enables the users to de ne schemes of di erent data models and to perform translations of schemes from one model to another. These functionalities can be at the...
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...