We present an improved bound on the difference between training and test errors for voting classifiers. This improved averaging bound provides a theoretical justification for popu...
—We propose a general synchronous model of lattice random fields which could be used similarly to Gibbs distributions in a Bayesian framework for image analysis, leading to algor...
Internet is widely known for lacking any kind of mechanism for the provisioning of Quality of Service guarantees. The Internet community concentrates its efforts on the Bandwidth ...
George A. Politis, Petros Sampatakos, Iakovos S. V...
1 We propose an integrated technique for extensive optimization of the final test solution for System-on-Chip using Simulated Annealing. The produced results from the technique ar...
The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that ...
David de la Fuente, Alejandro Garrido, Jaime Lavia...