1921 search results - page 251 / 385 » Learning from sensor network data |
ICANN
2011
Springer
14 years 1 months ago
2011
Springer
Currently the most accurate WLAN positioning systems are based on the fingerprinting approach, where a “radio map” is constructed by modeling how the signal strength measureme...
175
click to vote
SIGMOD
2009
ACM
15 years 10 months ago
2009
ACM
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
ML
2006
ACM
14 years 10 months ago
2006
ACM
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
FLAIRS
2004
14 years 11 months ago
2004
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
ADHOCNOW
2007
Springer
15 years 4 months ago
2007
Springer
The in-network aggregation and processing of information is what sets a sensor network apart from a pure data acquisition device. One way to model the exchange of information betwe...