Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Our digital universe is growing, creating exploding amounts of data which need to be searched, protected and filtered. String searching is at the core of the tools we use to curb...
Daniele Paolo Scarpazza, Oreste Villa, Fabrizio Pe...
High performance computing on parallel architectures currently uses different approaches depending on the hardory model of the architecture, the abstraction level of the programmi...
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
The key to increasing performance without a commensurate increase in power consumption in modern processors lies in increasing both parallelism and core specialization. Core speci...