Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Abstract. Despite the great amount of knowledge produced by the neuroscientific literature affective phenomena, current models tackling noncognitive aspects of behavior are often b...
Marco Mirolli, Francesco Mannella, Gianluca Baldas...
— NetFlow is a solution to make an in-depth traffic analysis possible in IP networks. Most of the telecommunication operators have already deployed it, or intend to do so, for n...
The vulnerability of smart grid systems is a growing concern. Signal detection theory is employed here to detect a change in the system. We employ a discrete-time linear state spa...
When integrating dierent system components, the interaction between dierent features is often error prone. Typically errors occur on interruption, concurrency or disabling/ enabli...