The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
In order to solve future Multi Level Security (MLS) problems, we have developed a solution based on the DARPA Polymorphous Computing Architecture (PCA). MLS-PCA uses a novel distr...
— This paper deals with the orthogonality factor, a transfer coefficient which allows the transformation of a transmitted orthogonal signal into a received Gaussian noise to be ...
Proof Animation™ is a family of products for animating discrete event simulations. Proof is available in a variety of versions, including an inexpensive, student version, midsiz...
Term-weighting schemes are vital to the performance of Information Retrieval models that use term frequency characteristics to determine the relevance of a document. The vector spa...