— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
A steganalysis system based on 2-D Markov chain of thresholded prediction-error image is proposed in this paper. Image pixels are predicted with their neighboring pixels, and the ...
UML 2.0 provides a rich set of diagrams for systems documentation and specification. Many efforts have been undertaken to employ different aspects of UML for multiple domains, mai...
As complexity of real-time embedded software grows, it is desirable to use formal verification techniques to achieve a high level of assurance. We discuss application of model-ch...
Locality notions in logic say that the truth value of a formula can be determined locally, by looking at the isomorphism type of a small neighborhood of its free variables. Such n...