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Implants are nowadays transforming rapidly from rigid, custom-based devices with very narrow applications to highly constrained albeit multifunctional embedded systems. These systems contain cores able to execute software programs so as to allow for increased application versatility. In response to this trend, a new collection of benchmark programs for guiding the design of implant processors, ImpBench,...
In order to optimize classification performance of support vector machines, analyzing character of model parameters on support vector machines with Gaussian kernel, using data of Ionosphere Database in UCI repository of machine learning database and electroencephalogram (EEG) experiment data to make and analyze the area search table, a new parametric distribution model is proposed. In order to search...
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