— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
Static timing analyzers need to know the minimum and maximum number of iterations associated with each loop in a real-time program so accurate timing predictions can be obtained. ...
Abstract. In a trace-based world, the modular speci cation, veri cation, and control of live systems require each module to be receptive that is, each module must be able to meet i...
We investigate the universal characteristics of the simulated time horizon of the basic conservative parallel algorithm when implemented on regular lattices. This technique [1, 2]...
G. Korniss, M. A. Novotny, A. K. Kolakowska, H. Gu...