1921 search results - page 275 / 385 » Learning from sensor network data |
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
EUC
2005
Springer
15 years 3 months ago
2005
Springer
This paper presents a distributed middleware architecture based on a service-oriented approach, to manage high volume sensor events. Event management takes a multi-step operation f...
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
JMLR
2010
14 years 4 months ago
2010
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
IADIS
2004
14 years 11 months ago
2004
The purpose of the study was to determine public university South Dakota (USA) distance faculty perceptions regarding intended level of learning objectives for four selected modes...