In this paper, we formulate the problem of summarization of a dataset of transactions with categorical attributes as an optimization problem involving two objective functions - co...
Background: An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, indep...
This paper proposes a method for generating a Focus+Glue +Context map for Web map services by improving existing fisheye views methods for cartographic data. While many studies h...
In this paper we present a novel approach and a system for automated selection of building blocks, by exploiting business processes semantics. The selection process is based on a ...
Francesco di Cugno, Tommaso Di Noia, Eugenio Di Sc...
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...