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» Learning from Multiple Sources of Inaccurate Data
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146
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ECIR
2006
Springer
15 years 4 months ago
Web-Based Multiple Choice Question Answering for English and Arabic Questions
Answering multiple-choice questions, where a set of possible answers is provided together with the question, constitutes a simplified but nevertheless challenging area in question ...
Rawia Awadallah, Andreas Rauber
145
Voted
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 4 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
138
Voted
ER
1998
Springer
147views Database» more  ER 1998»
15 years 7 months ago
An Active Conceptual Model for Fixed Income Securities Analysis for Multiple Financial Institutions
The practical implementation and use of a mediator for fixed income securities analysis demonstrated the potential for extending the application of conceptual modeling from the sys...
Allen Moulton, Stéphane Bressan, Stuart E. ...
ICML
2008
IEEE
16 years 4 months ago
Composite kernel learning
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
Marie Szafranski, Yves Grandvalet, Alain Rakotomam...
185
Voted
BMCBI
2010
195views more  BMCBI 2010»
14 years 10 months ago
MBAT: A scalable informatics system for unifying digital atlasing workflows
Background: Digital atlases provide a common semantic and spatial coordinate system that can be leveraged to compare, contrast, and correlate data from disparate sources. As the q...
Daren Lee, Seth Ruffins, Queenie Ng, Nikhil Sane, ...