AI and connectionist approaches to learning from examples differ in knowledge-base representation and inductive mechanisms. To explore these differences we experiment with a syste...
Semantic taxonomies such as WordNet provide a rich source of knowledge for natural language processing applications, but are expensive to build, maintain, and extend. Motivated by...
This paper analyzes the asymptotic behavior of packet-train probing over a multi-hop network path carrying arbitrarily routed bursty cross-traffic flows. We examine the statistical...
Xiliang Liu, Kaliappa Nadar Ravindran, Dmitri Logu...
— Teaching a robot to learn new knowledge is a repetitive and tedious process. In order to accelerate the process, we propose a novel template-based approach for robot arm moveme...
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...