Nederlands
Contact
Sitemap
Search
OrganisationEEMCS EPrints Service
 |
|
|
||||||||||||||||||||||||||||
|
|
|
|
|
||||||||||||||||||||||||||
|
|
|
||||||||||||||||||||||||||||
|
|
|
|
|
||||||||||||||||||||||||||
|
|
Evers, S.
(2007)
Composability of Markov Models for Processing Sensor Data.
Technical Report TR-CTIT-07-91,
Centre for Telematics and Information Technology University of Twente, Enschede.
ISSN 1381-3625
Full text available as:
 AbstractWe show that it is possible to apply the divide-and-conquer principle in constructing a Markov model for sensor data from available sensor logs. The state space can be partitioned into clusters, for which the required transition counts or probabilities can be acquired locally. The combination of these local parameters into a global model takes the form of a system of linear equations with a confined solution space. Expected advantages of this approach lie for example in reduced (wireless) communication costs.
Export this item as: To correct this item please ask your editor Repository Staff Only: edit this item |
|
|
||||||||||||||||||||||||||
|
|
|
||||||||||||||||||||||||||||
|
|
|
|
|
||||||||||||||||||||||||||
|
|
|
||||||||||||||||||||||||||||
