The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Creativity has become a valuable asset, given the fast paced changes most companies must nowadays deal with. Companies now look for creative, highly adaptive individuals who can ex...
The success of kernel methods including support vector machines (SVMs) strongly depends on the design of appropriate kernels. While initially kernels were designed in order to han...
In this paper, we introduce the design of a Personalized Education (PE) search approach that employs multiple ontologies to automatically generate queries for educational resource...