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» Learning from sensor network data
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IS
2007
15 years 3 months ago
Evaluation of probabilistic queries over imprecise data in constantly-evolving environments
Sensors are often employed to monitor continuously changing entities like locations of moving objects and temperature. The sensor readings are reported to a database system, and a...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...
EWSN
2007
Springer
16 years 2 months ago
An Energy-Efficient K-Hop Clustering Framework for Wireless Sensor Networks
Many applications in wireless sensor networks (WSNs) benefit significantly from organizing nodes into groups, called clusters, because data aggregation and data filtering applied i...
Quanbin Chen, Jian Ma, Yanmin Zhu, Dian Zhang, Lio...
MMS
2007
15 years 4 months ago
Standards for Ambient Learning Environments
: The integration of information systems is not a new challenge. As one instrument, standards provide interfaces for integrated information systems. With regard to the recent adven...
Markus Bick, Tyge Kummer, Jan M. Pawlowski, Patric...
ACSW
2006
15 years 4 months ago
Towards dynamic data grid framework for eResearch
The scale at which scientific data is produced will undergo a massive change in the near future. Many sophisticated scientific discovery laboratories or the installation of sensor...
A. B. M. Russel, Asad I. Khan
APIN
2002
90views more  APIN 2002»
15 years 3 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...