We combine space-time coding and transmit beamforming over multiple-antenna quasi-static fading channels using resolution-constrained channel state information at the transmitter ...
We present three novel methods of compactly storing very large n-gram language models. These methods use substantially less space than all known approaches and allow n-gram probab...
Networks estimating probability density are usually based on radial basis function of the same type. Feature Space Mapping constructive network based on separable functions, optimi...
Wlodzislaw Duch, Rafal Adamczak, Geerd H. F. Dierc...
: Networks having several hundred or more nodes and significant edge probabilities are extremely difficult to visualize. They typically appear as dense clumps, with the various sub...
Learning from experience is a basic task of human brain that is not yet fulfilled satisfactorily by computers. Therefore, in recent years to cope with this issue, bio-inspired app...