— We address the problem of connection preemption in a multi-class network environment. Our objective is: i) to minimize the number of preempted connections, and ii) to minimize ...
— In this paper, we propose a distributed stochastic algorithm for power and rate allocation in ad hoc wireless sensor networks. The problem we deal with is formulated as a trans...
We give new algorithms for learning halfspaces in the challenging malicious noise model, where an adversary may corrupt both the labels and the underlying distribution of examples....
Adam R. Klivans, Philip M. Long, Rocco A. Servedio
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
Mixed Group Ranks is a parametric method for combining rank based classiers that is eective for many-class problems. Its parametric structure combines qualities of voting methods...