Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
Clock selection has a significant impact on the performance and quality of designs in high-level synthesis. In most synthesis systems, a convenient value of the clock is chosen or...
J. Ramanujam, Sandeep Deshpande, Jinpyo Hong, Mahm...
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...
Nowadays, more and more distributed digital TV and TV-related resources are published on the Web, such as Electronic Personal TV Guide (EPG) data. To enable applications to access ...
Hong Qing Yu, Neil Benn, Stefan Dietze, Carlos Ped...