Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...
This paper examines the impact of the primary symmetric key cryptographic operation on network data streams, encryption of user data, have on the overall tra c throughput. The encr...
The decentralized control scheme for routing in current IP networks has been questioned, and a centralized control scheme has been proposed. In this paper, we compare the convergen...
The well-known traceroute probing method discovers links between interfaces on Internet routers. IP alias resolution, the process of identifying IP addresses belonging to the same...