In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
The Web is widely used, in educational settings, typically as a repository of contents to be learned. Within this approach, the Web-searching process tends to be perceived merely a...
We study the stochastic machine replenishment problem, which is a canonical special case of closed multiclass queuing systems in Markov decision theory. The problem models the sche...
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
This article presents the results of a research in applying modern Graphics Processing Units in the field of telecommunications. The most recent Wireless Local Area Network protoc...