This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
The implementation of a recently suggested class of structural change tests, which test for parameter instability in general parametric models, in the R language for statistical c...
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this ...
Micro-payment systems have become popular in recent times as the desire to support low-value, high-volume transactions of text, music, clip-art, video and other media has increase...
We introduce Virtual Leashing,1 a new technique for software protection and control. The leashing process removes small fragments of code, pervasive throughout the application, an...