As an alternative to vector representations, a recent trend in image classification suggests to integrate additional structural information in the description of images in order to...
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
The role-based access control (RBAC) model has proven to be cost effective to reduce the complexity and costs of access permission management. To maximize the advantages offered...
Alessandro Colantonio, Roberto Di Pietro, Alberto ...
Adaptation techniques based on importance weighting were shown effective for RankSVM and RankNet, viz., each training instance is assigned a target weight denoting its importance ...