This paper introduces an adaptive Higher Order Neural Network (HONN) model and applies it in data mining such as simulating and forecasting government taxation revenues. The propo...
Support Vector Machines (SVMs), though accurate, are still difficult to solve large-scale applications, due to the computational and storage requirement. To relieve this problem,...
Policy-driven negotiations are gaining interest among the research community. A large number of policy languages with different expressiveness have been developed in order to suit...
—In this paper the problem of evaluating the statistics of the connected nodes position in a multi-hop wireless random ad hoc network is addressed. In particular, an analytical m...
— We derive new bounds on the aperiodic total squared correlation (ATSC) of binary antipodal signature sets for any number of signatures K and any signature length L. We then pre...
Harish Ganapathy, Dimitrios A. Pados, George N. Ka...