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» Learning from Multiple Sources of Inaccurate Data
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167
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BMCBI
2011
14 years 7 months ago
Assessing the functional coherence of modules found in multiple-evidence networks from Arabidopsis
Background: Combining multiple evidence-types from different information sources has the potential to reveal new relationships in biological systems. The integrated information ca...
Artem Lysenko, Michael Defoin-Platel, Keywan Hassa...
150
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AUSDM
2008
Springer
221views Data Mining» more  AUSDM 2008»
15 years 5 months ago
Indoor Location Prediction Using Multiple Wireless Received Signal Strengths
This paper presents a framework for indoor location prediction system using multiple wireless signals available freely in public or office spaces. We first proabstract architectur...
Kha Tran, Dinh Q. Phung, Brett Adams, Svetha Venka...
124
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ICWS
2009
IEEE
16 years 25 days ago
Reiki: Serviceability Architecture and Approach for Reduction and Management of Product Service Incidents
: © Reiki: Serviceability Architecture and Approach for Reduction and Management of Product Service Incidents Chris Connelly, Brian Cox, Tim Forell, Rui Liu, Dejan Milojicic, Alan...
Chris Connelly, Brian Cox, Tim Forell, Rui Liu, De...
150
Voted
UMUAI
2008
192views more  UMUAI 2008»
15 years 3 months ago
Automatic detection of learner's affect from conversational cues
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
Sidney K. D'Mello, Scotty D. Craig, Amy M. Withers...
131
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KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 4 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky