In the CBR literature from the past 25 years there is a considerable amount of research work that makes use of cases that are subspaces of some representation space rather than poi...
This paper addresses an optimal technique for throughput optimization of general non-linear data flow computations using a set of transformations. Throughput is widely recognized ...
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
We investigate the asymptotic behavior of the steady-state queue length distribution under generalized maxweight scheduling in the presence of heavy-tailed traffic. We consider a s...
Krishna P. Jagannathan, Mihalis Markakis, Eytan Mo...
This paper deals with the problem of finding upper bounds on the number of periodic solutions of a class of one-dimensional non-autonomous differential equations: those with the r...