Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Abstract. Nowadays, information systems have to perform in complex, heterogeneous environments, considering a variety of system users with different needs and preferences. Software...
Mirko Morandini, Loris Penserini, Anna Perini, Ang...
Recent advances in Dynamic Power Management (DPM) techniques have resulted in designs that support a rich set of power management options, both at the hardware and software levels...
Shrirang M. Yardi, Karthik Channakeshava, Michael ...
This paper explains how Partially Observable Markov Decision Processes (POMDPs) can provide a principled mathematical framework for modelling the inherent uncertainty in spoken di...
Steve Young, Milica Gasic, Simon Keizer, Fran&cced...
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...