Sciweavers

1921 search results - page 213 / 385
» Learning from sensor network data
Sort
View
226
Voted
ICDE
2004
IEEE
140views Database» more  ICDE 2004»
16 years 4 months ago
Approximate Aggregation Techniques for Sensor Databases
In the emerging area of sensor-based systems, a significant challenge is to develop scalable, fault-tolerant methods to extract useful information from the data the sensors collec...
Jeffrey Considine, Feifei Li, George Kollios, John...
115
Voted
CATA
2003
15 years 4 months ago
Vehicle-Bus Interface with GMLAN for Data Collection
Within a few years, nearly every vehicle that General Motors (GM) manufactures will have a microcontroller network known as GMLAN. A few GM vehicles already have the GMLAN network...
David C. Pheanis, Jeffrey A. Tenney
109
Voted
AUSAI
2006
Springer
15 years 6 months ago
Voting Massive Collections of Bayesian Network Classifiers for Data Streams
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
Remco R. Bouckaert
148
Voted
SENSYS
2010
ACM
15 years 19 days ago
Privacy-aware regression modeling of participatory sensing data
Many participatory sensing applications use data collected by participants to construct a public model of a system or phenomenon. For example, a health application might compute a...
Hossein Ahmadi, Nam Pham, Raghu K. Ganti, Tarek F....
117
Voted
ICML
2005
IEEE
16 years 3 months ago
Learning class-discriminative dynamic Bayesian networks
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
John Burge, Terran Lane