For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all availabl...
This work is devoted to the numerical resolution of the 4D Vlasov equation using an adaptive mesh of phase space. We previously proposed a parallel algorithm designed for distribut...
As computers become ubiquitous in our every day lives, providing a means for true user empowerment will become crucial. Techniques which allow dynamic reuse and composition of exi...
Using a nonlinear 15-state helicopter model in 6 DOF, two di erent neural control systems, both acting as rate damping, have been designed and compared. They are both based on the ...
Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...