Intelligent analysis of heterogeneous data and information sources for efficient decision support presents an interesting yet challenging task in clinical environments. This is par...
Mobyen Uddin Ahmed, Shahina Begum, Peter Funk, Nin...
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Recently there has been a growing interest of research in tabling in the logic programming community because of its usefulness in a variety of application domains including progra...
Abstract--Applications involving the dissemination of information directly relevant to humans (e.g., service advertising, news spreading, environmental alerts) often rely on publis...
Paolo Costa, Cecilia Mascolo, Mirco Musolesi, Gian...
For a given service demand, it is necessary to select a suitable service provider among many possibilities. An accurate selection is difficult when consumers do not have a signi...
Murat Sensoy, F. Canan Pembe, Hande Zirtiloglu, Pi...