Pochi settori della Medicina, come le Scienze Radiologiche (Radiologia Diagnostica, Radiologia Interventistica, Medicina Nucleare e Radioterapia) impegnano il Medico Specialista e il Tecnico ad acquisire e costantemente approfondire le conoscenze tecnologiche riguardanti le apparecchiature in uso e le metodiche di impiego a queste correlate. Conoscenze tecnologiche che sono in un continuo progresso, con l’evolversi delle macchine, per cui a Radiologi, Radiologi Interventisti, Medici Nucleari ...
Given temporal high-throughput data defining a two-class functional genomic process, feature selection algorithms may be applied to extract a panel of discriminating gene time series from noise. We then aim at identifying the main trends of activity along the process: a reconstruction method based on stagewise boosting is endowed with a similarity measure based on the Dynamic Time Warping algorithm, defining a ranked set of time series component most contributing to the reconstruction. The a...
In this paper we propose a novel data–driven kernel automatically determined by the training examples. Basically, it is built by combining a finite set of linearly independent functions, namely generalized terminated ramp functions, each depending on a pair of training data. When working in the Tikhonov regularization framework, the unique free parameter to be optimized is the regularizer, representing a trade-off between empirical error and smoothness of the solution