225 search results - page 32 / 45 » Knowledge Representation and Possible Worlds for Neural Netw... |
EWSN
2008
Springer
14 years 7 months ago
2008
Springer
Today it is possible to deploy sensor networks in the real world and collect large amounts of raw sensory data. However, it remains a major challenge to make sense of sensor data, ...
FLAIRS
2004
13 years 8 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...
PERCOM
2010
ACM
13 years 5 months ago
2010
ACM
—This paper shows how to reduce evaluation time for context inference. Probabilistic Context Inference has proven to be a good representation of the physical reality with uncerta...
SC
1994
ACM
13 years 11 months ago
1994
ACM
PARAMICS is a PARAllel MICroscopic Traffic Simulator which is, to our knowledge, the most powerful of its type in the world. The simulator can model around 200,000 vehicles on aro...
SEBD
2003
13 years 8 months ago
2003
Abstract. Sensor networks represent a non traditional source of information, as readings generated by sensors flow continuously, leading to an infinite stream of data. Traditiona...