We present a family of measures of proximity of an arbitrary node in a directed graph to a pre-specified subset of nodes, called the anchor. Our measures are based on three differ...
Amruta Joshi, Ravi Kumar, Benjamin Reed, Andrew To...
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
As design complexities increase exponentially, automotive designers need integrated tool environments enabling system-level analyses of alternative architectural solutions. Hence,...
Paolo Giusto, Sri Kanajan, Claudio Pinello, Max Ch...
Medical words exhibit a rich and productive morphology. Morphological knowledge is therefore very important for any medical language processing application. We propose a simple and...