The responses of cortical neurons are often characterized by measuring their spectro-temporal receptive fields (strfs). The strf of a cell can be thought of as a representation of...
Martin Coath, Emili Balaguer-Ballester, Sue L. Den...
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Abstract. In this paper we report on our experience on using the socalled model-driven security approach in an MDA industrial project. In model-driven security, "designers spe...
Manuel Clavel, Viviane da Silva, Christiano Braga,...
Toprogrammassivelyconcurrent MIMDmachines, programmersneed tools for managingcomplexity. One important tool that has been used in the sequential programmingworld is hierarchies of...