The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current tr...
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
The high cost of software maintenance could potentially be greatly reduced by the automatic refactoring of object-oriented programs to increase their understandability, adaptabili...
— In this paper, we present a two-layer rate control In [4], their rate controller TMN8 applied the Lagrange framework for low delay video transmission based on a multiplier to d...