In this paper, we consider the problem of dynamic lightpath protection in survivable WDM networks with single link failure model. Our work concerns in how to dynamically determine...
In intelligence analysis, information plays an important role in solving problems and making decisions. However, an increasing number of malicious behaviors, most of which come fr...
Eugene Santos Jr., Hien Nguyen, Fei Yu, Keum Joo K...
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Web-based collaboration systems typically require dynamic and context-based interactions between people and services. To support such complex interaction scenarios, we introduce a...
We describe a new approach for understanding the difficulty of designing efficient learning algorithms. We prove that the existence of an efficient learning algorithm for a circui...