Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
- Application level active networks provide a way of transforming the current network infrastructure into one where new services and protocols are more easily adopted and utilized ...
Nikolaos D. Dragios, Constantine Harbilas, Konstan...
In this paper, a new paradigm for designing logic circuits with concurrent error detection (CED) is described. The key idea is to exploit the asymmetric soft error susceptibility ...
—We present a new distributed genetic algorithm that can be used to extract useful information from distributed, large data over the network. The main idea of the proposed algori...
Hyunjung Lee, Byonghwa Oh, Jihoon Yang, Seonho Kim
ICA (Independent Component Analysis) is a new technique for analyzing multi-variant data. Lots of results are reported in the field of neurobiological data analysis such as EEG (...