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ESANN
2007
15 years 3 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
RTCSA
2000
IEEE
15 years 6 months ago
Frame packing in real-time communication
A common computational model in distributed embedded systems is that the nodes exchange signals via a network. Most often a signal represents the state of some physical device and...
Kristian Sandström, Christer Norström, M...
COMSWARE
2007
IEEE
15 years 8 months ago
OASiS: A Programming Framework for Service-Oriented Sensor Networks
Abstract— Wireless sensor networks consist of small, inexpensive devices which interact with the environment, communicate with each other, and perform distributed computations in...
Manish Kushwaha, Isaac Amundson, Xenofon D. Koutso...
MSS
1999
IEEE
150views Hardware» more  MSS 1999»
15 years 6 months ago
Performance Benchmark Results for Automated Tape Library High Retrieval Rate Applications - Digital Check Image Retrievals
Benchmark tests have been designed and conducted for the purpose of evaluating the use of automated tape libraries in on-line digital check image retrieval applications. This type...
John Gniewek, George Davidson, Bowen Caldwell
WIKIS
2009
ACM
15 years 8 months ago
Measuring the wikisphere
Due to the inherent difficulty in obtaining experimental data from wikis, past quantitative wiki research has largely been focused on Wikipedia, limiting the degree that it can be...
Jeff Stuckman, James Purtilo