In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
Tom Croonenborghs, Kurt Driessens, Maurice Bruynoo...
– Modern multi-processor system-on-chip (MPSoC) designs have high bandwidth constraints which must be satisfied by the underlying communication architecture. Bus matrix based com...
Sudeep Pasricha, Nikil D. Dutt, Mohamed Ben-Romdha...
The anticipation game framework is an extension of attack graphs based on game theory. It is used to anticipate and analyze intruder and administrator concurrent interactions with ...
In this paper we propose the model of a prototypical NLP architecture of an information access system to support a team of experts in a scientific design task, in a shared and hete...
Maria Teresa Pazienza, Marco Pennacchiotti, Michel...
Several time series matching techniques have been proposed for content-based music retrieval. These techniques represent a melody by a time series of pitch values and use time war...