Sciweavers

1921 search results - page 27 / 385
» Learning from sensor network data
Sort
View
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
HPDC
2010
IEEE
14 years 10 months ago
Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network
In preparation for the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report, the climate community will run the Coupled Model Intercomparison Project phase 5 (...
Rajkumar Kettimuthu, Alex Sim, Dan Gunter, Bill Al...
AINA
2006
IEEE
15 years 3 months ago
Simulation Architecture for Data Processing Algorithms in Wireless Sensor Networks
Abstract— Wireless sensor networks, by providing an unprecedented way of interacting with the physical environment, have become a hot topic for research over the last few years. ...
Yann-Aël Le Borgne, Mehdi Moussaid, Gianluca ...
83
Voted
GI
2004
Springer
15 years 3 months ago
Who's onCampus: A Campus-Wide Location System
: Wireless Local Area Networks (WLAN) do not only provide a means for wireless communication, they can also supply terminal positions to location-aware services and applications. T...
Michael Wallbaum, Andreas Dieckmann, Peter Russell...
80
Voted
TSP
2008
103views more  TSP 2008»
14 years 9 months ago
Distributed Adaptive Quantization for Wireless Sensor Networks: From Delta Modulation to Maximum Likelihood
Abstract-- We consider distributed parameter estimation using quantized observations in wireless sensor networks where due to bandwidth constraint, each sensor quantizes its local ...
Jun Fang, Hongbin Li