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ICML
2008
IEEE
16 years 7 months ago
Empirical Bernstein stopping
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
Csaba Szepesvári, Jean-Yves Audibert, Volod...
WWW
2004
ACM
16 years 7 months ago
Active e-course for constructivist learning
An active e-course is a self-representable and self-organizable document mechanism with a flexible structure. The kernel of the active e-course is to organize learning materials i...
Hai Zhuge, Yanyan Li
PERCOM
2004
ACM
16 years 6 months ago
Virtual Paths Routing: A Highly Dynamic Routing Protocol for Ad Hoc Wireless Networks
In this paper, we introduce the Virtual Paths Routing (VPR) Protocol for ad hoc wireless networks. VPR provides highly dynamic, correct, and efficient paths creation and maintenan...
Abdulrahman H. Altalhi, Golden G. Richard III
PERCOM
2004
ACM
16 years 6 months ago
A Middleware for Supporting Disconnections and Multi-Network Access in Mobile Environments
The middleware infrastructure to support applications is becoming critically important to the new horizons of mobile and pervasive computing. In this context, the goal of our work...
Mejdi Kaddour, Laurent Pautet
ICC
2009
IEEE
122views Communications» more  ICC 2009»
16 years 1 months ago
Using Area Hierarchy for Multi-Resolution Storage and Search in Large Wireless Sensor Networks
—We consider multi-resolution storage, a technique for providing scalable adaptive data fidelity, necessary for many applications of large wireless sensor networks (WSNs). Altho...
Konrad Iwanicki, Maarten van Steen