In this paper, we introduce a new method to recover from discrepancies in a general monitoring framework where the agent finds some explanations (points of failure) for discrepan...
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
Parameterized model checking refers to any method that extends traditional, finite-state model checking to handle systems arbitrary number of processes. One popular approach to thi...
Checking the correspondence between two or more database instances and enforcing it is a procedure widely used in practice without however having been explored from a theoretical ...
Checking the correspondence between two or more database instances and enforcing it is a procedure widely used in practice without however having been explored from a theoretical ...