For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
—Analysis and modeling of wireless networks greatly depend on understanding the structure of underlying mobile nodes. In this paper we present two clustering algorithms to determ...
Yung-Chih Chen, Elisha J. Rosensweig, Jim Kurose, ...
Commercial SRAM-based FPGAs have the potential to provide aerospace applications with the necessary performance to meet next-generation mission requirements. However, the suscepti...
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
Although the notion of negotiation has been used extensively in secure communication protocols to establish common keying states, protocol modes and services, this notion is only n...
Virgil D. Gligor, Himanshu Khurana, Radostina K. K...