Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
Architectural designs for routers and networks of routers to support mobile communication are analysed for their end-to-end performance using a simple Markov model. In view of the...
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
In this paper, we introduce the concept of hierarchy-based fault-local stabilization and a novel self-healing/fault-containment technique and apply them in Stalk. Stalk is an algo...
Murat Demirbas, Anish Arora, Tina Nolte, Nancy A. ...
With the advent of large-scale, wide-area networking testbeds, researchers can deploy long-running distributed services that interact with other resources on the Web. The CoDeeN C...
Limin Wang, KyoungSoo Park, Ruoming Pang, Vivek S....