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SAC
2010
ACM
16 years 1 months ago
Recovering uncertain mappings through structural validation and aggregation with the MoTo system
We present an automated ontology matching methodology, supported by various machine learning techniques, as implemented in the system MoTo. The methodology is twotiered. On the ļ¬...
Floriana Esposito, Nicola Fanizzi, Claudia d'Amato
183
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ICALT
2008
IEEE
16 years 18 days ago
Glosser: Enhanced Feedback for Student Writing Tasks
We describe Glosser, a system that supports students in writing essays by 1) scaffolding their reflection with trigger questions, and 2) using text mining techniques to provide co...
Jorge J. Villalón, Paul Kearney, Rafael A. ...
ICCBR
2005
Springer
15 years 11 months ago
Learning Similarity Measures: A Formal View Based on a Generalized CBR Model
Abstract. Although similarity measures play a crucial role in CBR applications, clear methodologies for defining them have not been developed yet. One approach to simplify the deļ...
Armin Stahl
HAIS
2009
Springer
15 years 10 months ago
Incremental Kernel Machines for Protein Remote Homology Detection
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
Lionel Morgado, Carlos Pereira
IJCNN
2006
IEEE
16 years 5 days ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...