We present efficient approximation algorithms for a number of problems that call for computing the prices that maximize the revenue of the seller on a set of items. Algorithms for ...
This paper presents a method that combines Mutual Information and k-Nearest Neighbors approximator for time series prediction. Mutual Information is used for input selection. K-Nea...
This paper presents an implementation of feedback control strategy on distributed static scheduling. The static schedule is created taking into account the average execution times...
In some real-time application systems, there are only a few distinct kinds of tasks, each of which may be instantiated several times during runtime. The scheduling of such sporadi...
Interest in automated biometrics continues to increase, but has little consideration of time. This paper deals with a problem of recognition by gait when time-dependent and time-in...