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» Mobile learning: A framework and evaluation
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WWW
2008
ACM
14 years 10 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
WMCSA
2008
IEEE
14 years 3 months ago
HealthSense: classification of health-related sensor data through user-assisted machine learning
Remote patient monitoring generates much more data than healthcare professionals are able to manually interpret. Automated detection of events of interest is therefore critical so...
Erich P. Stuntebeck, John S. Davis II, Gregory D. ...
TMC
2011
223views more  TMC 2011»
13 years 4 months ago
Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis
Abstract—Recently, many efforts have been made to develop more efficient Inter-Vehicle Communication (IVC) protocols for ondemand route planning according to observed traffic con...
Christoph Sommer, Reinhard German, Falko Dressler
AGS
2009
Springer
14 years 3 months ago
Two Case Studies for Jazzyk BSM
Recently, we introduced Behavioural State Machines (BSM ), a novel programming framework for development of cognitive agents with Jazzyk, its associated programming language and in...
Michael Köster, Peter Novák, David Mai...
HUC
2009
Springer
14 years 1 months ago
Discovering semantically meaningful places from pervasive RF-beacons
Detecting visits to semantically meaningful places is important for many emerging mobile applications. We present PlaceSense, a place discovery algorithm suitable for mobile devic...
Donnie H. Kim, Jeffrey Hightower, Ramesh Govindan,...