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» Automated text classification using a multi-agent framework
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WMCSA
2008
IEEE
14 years 2 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. ...
COMAD
2008
13 years 9 months ago
CUM: An Efficient Framework for Mining Concept Units
Web is the most important repository of different kinds of media such as text, sound, video, images etc. Web mining is the process of applying data mining techniques to automatica...
Santhi Thilagam
MVA
2010
193views Computer Vision» more  MVA 2010»
13 years 2 months ago
A novel framework for 3D reconstruction and analysis of ancient inscriptions
Studying ancient inscriptions is based up to date mostly on observation and manual analysis by means of which epigraphists attempt to establish a geographical and chronological cla...
Angelos Barmpoutis, Eleni Bozia, Robert S. Wagman
PLILP
1992
Springer
13 years 11 months ago
Strictness Analysis for Attribute Grammars
Attribute grammars may be seen as a (rather specialised) lazy or demand-driven programming language. The "programs" in this language take text or parse trees as input an...
Mads Rosendahl
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
14 years 2 months ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang