A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
The objective of this paper is to investigate the problems related to the extensional integration of information sources. In particular, we propose an approach for managing incons...
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
In this paper we propose a new approach to investigate the security of the McEliece cryptosystem. We recall that this cryposystem relies on the use of error-correcting codes. Since...
Horn fragments of Description Logics (DLs) have gained popularity because they provide a beneficial trade-off between expressive power and computational complexity and, more spec...