We tackle the problem of disambiguating entities on the Web. We propose a user-driven scheme where graphs of entities ? represented by globally identifiable declarative artifacts ...
Hermann de Meer, Karl Aberer, Michael Jost, Parisa...
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
Renato Porfirio Ishii, Rodrigo Fernandes de Mello,...
We present an approach to support Massively Multiplayer Online Role-Playing Games. Our proposed solution begins by splitting the large virtual world into smaller regions, each reg...
When building predictors of disease state based on gene expression data, gene selection is performed in order to achieve a good performance and to identify a relevant subset of ge...