— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
A key emerging and popular communication paradigm, primarily employed for information dissemination, is peer-to-peer (P2P) networking. In this paper, we model the spread of malwar...
Digital Down Conversion (DDC) is an algorithm, used to lower the amount of samples per second by selecting a limited frequency band out of a stream of samples. A possible DDC algo...
Tjerk Bijlsma, Pascal T. Wolkotte, Gerard J. M. Sm...
— Fast QR decomposition RLS (FQRD-RLS) algorithms are well known for their good numerical properties and low computational complexity. The FQRD-RLS algorithms do not provide acce...
Integration of the currently available computing systems and platforms is one of the most envisaged goals achieved by computer scientists, which starts to become a reality nowaday...
Guilherme Bertoni Machado, Frank Siqueira, Robinso...