We develop a new tool for data-dependent analysis of the exploration-exploitation trade-off in learning under limited feedback. Our tool is based on two main ingredients. The fi...
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
—Large graphs are used in many applications, such as social networking. The management of these graphs poses new challenges because such graphs are too large to fit on a single ...
—In order to achieve resilient multipath routing we introduce the concept of Independent Directed Acyclic Graphs (IDAGs) in this study. Link-independent (Node-independent) DAGs s...
—Developing service compositions, using multiple standards and implementation techniques, typically involves specifying service characteristics in different languages and tools. ...