Two experimental tools to support usage-centered design using l use cases and canonical abstract prototypes are described. The models and methods of usage-centered design are outl...
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...
This contribution presents a new class of MRF, that is inspired by methods of statistical physics. The new energy function assumes full-connectivity in the neighborhood system and...
Interaction between heterogeneous agents can raise some problems since agents may not use the same models and concepts. Therefore, the use of some mechanisms to achieve interoperab...
Laurent Vercouter, Sara J. Casare, Jaime Sim&atild...
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
Stefan Mutter, Bernhard Pfahringer, Geoffrey Holme...