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Content archived on 2022-12-23

CALL ADMISSION CONTROL AND NETWORK POLICING BY NEURAL NETWORKS AND PERFORMANCE EVALUATION

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

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Classical histogram or kernel estimates are not convenient for recursive estimation of distributions of demands of users of communication networks, where the call admission control puts a special emphasis on exact estimates of tail probabilities. A system of programs has been developed, implementing the so-called Barron density estimator, which is consistent in a strong topological sense guaranteeing increased accuracy of estimates of tail probabilities.

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