ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
In this paper we employ information theoretic algorithms, previously used for separating instantaneous mixtures of sources, for separating convolved mixtures in the frequency doma...
Autonomic management can be used to improve the QoS provided by parallel/distributed applications. We discuss behavioural skeletons introduced in earlier work: rather than relying...
Marco Aldinucci, Sonia Campa, Marco Danelutto, Mar...
Accurate and real-time traffic measurement is becoming increasingly critical for large variety of applications including accounting, bandwidth provisioning and security analysis. ...
Faisal Khan, Lihua Yuan, Chen-Nee Chuah, Soheil Gh...
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...