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» Learning from Multiple Sources of Inaccurate Data
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CE
2008
91views more  CE 2008»
15 years 3 months ago
Mining e-Learning domain concept map from academic articles
Recent researches have demonstrated the importance of concept map and its versatile applications especially in e-Learning. For example, while designing adaptive learning materials...
Nian-Shing Chen, Kinshuk, Chun-Wang Wei, Hong-Jhe ...
131
Voted
KDD
2008
ACM
213views Data Mining» more  KDD 2008»
16 years 3 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
BMCBI
2010
117views more  BMCBI 2010»
14 years 10 months ago
Screensaver: an open source lab information management system (LIMS) for high throughput screening facilities
Background: Shared-usage high throughput screening (HTS) facilities are becoming more common in academe as large-scale small molecule and genome-scale RNAi screening strategies ar...
Andrew N. Tolopko, John P. Sullivan, Sean D. Erick...
142
Voted
ATAL
2009
Springer
15 years 10 months ago
Transfer via soft homomorphisms
The field of transfer learning aims to speed up learning across multiple related tasks by transferring knowledge between source and target tasks. Past work has shown that when th...
Jonathan Sorg, Satinder Singh
133
Voted
ATAL
2010
Springer
15 years 4 months ago
Learning multirobot joint action plans from simultaneous task execution demonstrations
The central problem of designing intelligent robot systems which learn by demonstrations of desired behaviour has been largely studied within the field of robotics. Numerous archi...
Murilo Fernandes Martins, Yiannis Demiris