Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Interface personalization can improve a user’s performance and subjective impression of interface quality and responsiveness. Personalization is difficult to implement as it req...
Background: The protein structure prediction problem is one of the most challenging problems in biological sciences. Many approaches have been proposed using database information ...
A key concern for the area of discrete event simulation modelling is to encourage its adoption and use by nonspecialists. To achieve this it is important that we focus on developi...
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...