1921 search results - page 237 / 385 » Learning from sensor network data |
142
Voted
BMCBI
2010
15 years 2 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
154
Voted
AROBOTS
2002
15 years 2 months ago
2002
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
151
Voted
AI
2006
Springer
15 years 2 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
121
Voted
GISCIENCE
2008
Springer
15 years 3 months ago
2008
Springer
Movement patterns, like flocking and converging, leading and following, are examples of high-level process knowledge derived from lowlevel trajectory data. Conventional techniques...
204
Voted
ICDE
2002
IEEE
16 years 3 months ago
2002
IEEE
Large sensor networks are being widely deployed for measurement, detection, and monitoring applications. Many of these applications involve database systems to store and process d...