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» Learning from Multiple Sources of Inaccurate Data
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111
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AIEDU
2004
71views more  AIEDU 2004»
15 years 2 months ago
Using Intelligent Feedback to Improve Sourcing and Integration in Students' Essays
Learning and reasoning from multiple documents requires students to employ the skills of sourcing (i.e., attending to and citing sources) and information integration (i.e., making ...
Mary Anne Britt, Peter M. Wiemer-Hastings, Aaron A...
126
Voted
SIGSOFT
2005
ACM
16 years 3 months ago
Applying classification techniques to remotely-collected program execution data
There is an increasing interest in techniques that support measurement and analysis of fielded software systems. One of the main goals of these techniques is to better understand ...
Murali Haran, Alan F. Karr, Alessandro Orso, Adam ...
188
Voted
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
13 years 5 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
165
Voted
CVPR
2009
IEEE
16 years 9 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...
SIGMOD
2004
ACM
163views Database» more  SIGMOD 2004»
16 years 2 months ago
Constraint-Based XML Query Rewriting For Data Integration
We study the problem of answering queries through a target schema, given a set of mappings between one or more source schemas and this target schema, and given that the data is at...
Cong Yu, Lucian Popa