We propose a relative optimization framework for quasi maximum likelihood blind deconvolution and the relative Newton method as its particular instance. Special Hessian structure a...
Alexander M. Bronstein, Michael M. Bronstein, Mich...
A spline-based modification of the previously developed Neuro-Fuzzy Kolmogorov's Network (NFKN) is proposed. In order to improve the approximation accuracy, cubic B-splines ar...
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
— The delay limited capacity of an ad hoc wireless network confined to a finite region is investigated. A transmission and relaying strategy making use of the nodes’ motion t...
The Elmore delay is the metric of choice for performancedriven design applications due to its simple, explicit form and ease with which sensitivity information can be calculated. ...
Emrah Acar, Altan Odabasioglu, Mustafa Celik, Lawr...