1921 search results - page 203 / 385 » Learning from sensor network data |
155
Voted
TSP
2010
14 years 9 months ago
2010
Abstract--Sensor localization using channel energy measurements of distributed sensors has been studied in various scenarios. However, it is usually assumed that the target does no...
141
Voted
BIBE
2008
IEEE
15 years 4 months ago
2008
IEEE
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
118
Voted
CATA
2007
15 years 4 months ago
2007
A quick turnaround Sub-Orbital Student Experiment Module sounding rocket experiment has been designed and built to initiate the Old Dominion University wireless spacecraft bus pro...
142
Voted
JMLR
2006
15 years 2 months ago
2006
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
120
Voted
ACSAC
1999
IEEE
15 years 7 months ago
1999
IEEE
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...