k. The model we study can be interpreted as a broad, abstract extension of the well-studied on-line prediction model to a general decision-theoretic setting. We show that the multi...
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model con...
We propose a general framework for improving the query processing performance on multi-level memory hierarchies. Our motivation is that (1) the memory hierarchy is an important pe...
A method for environmental performance assessment is presented in this paper. The proposed method considers the procedure for environmental performance comparison of design altern...
In this paper, we present the use of stochastic learning automata (SLA) in mutliagent robotics. In order to fully utilize and implement learning control algorithms in the control o...
Aly I. El-Osery, John Burge, Mohammad Jamshidi, An...