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» Learning from sensor network data
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PKDD
2005
Springer
164views Data Mining» more  PKDD 2005»
15 years 8 months ago
Clustering and Prediction of Mobile User Routes from Cellular Data
Location-awareness and prediction of future locations is an important problem in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily availabl...
Kari Laasonen
CANDC
2002
ACM
15 years 3 months ago
Drug Design by Machine Learning: Support Vector Machines for Pharmaceutical Data Analysis
We show that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure
Robert Burbidge, Matthew W. B. Trotter, Bernard F....
AAMAS
2007
Springer
15 years 3 months ago
Local strategy learning in networked multi-agent team formation
Abstract. Networked multi-agent systems are comprised of many autonomous yet interdependent agents situated in a virtual social network. Two examples of such systems are supply cha...
Blazej Bulka, Matthew E. Gaston, Marie desJardins
TITB
2010
167views Education» more  TITB 2010»
14 years 10 months ago
Structural action recognition in body sensor networks: distributed classification based on string matching
Mobile sensor-based systems are emerging as promising platforms for healthcare monitoring. An important goal of these systems is to extract physiological information about the subj...
Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari
110
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ACSAC
2006
IEEE
15 years 9 months ago
PAST: Probabilistic Authentication of Sensor Timestamps
Sensor networks are deployed to monitor the physical environment in public and vulnerable locations. It is not economically viable to house sensors in tamper-resilient enclosures ...
Ashish Gehani, Surendar Chandra