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» Evaluating algorithms that learn from data streams
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EDBT
2010
ACM
152views Database» more  EDBT 2010»
15 years 10 months ago
Feedback-based annotation, selection and refinement of schema mappings for dataspaces
The specification of schema mappings has proved to be time and resource consuming, and has been recognized as a critical bottleneck to the large scale deployment of data integrati...
Khalid Belhajjame, Norman W. Paton, Suzanne M. Emb...
ICWE
2004
Springer
16 years 17 days ago
Automatic Interpretation of Natural Language for a Multimedia E-learning Tool
Abstract. This paper describes the new e-learning tool CHESt that allows students to search in a knowledge base for short (teaching) multimedia clips by using a semantic search eng...
Serge Linckels, Christoph Meinel
DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
15 years 11 months ago
Semi-supervised Text Classification Using Partitioned EM
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
CEC
2007
IEEE
16 years 1 months ago
WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier
— AIRS (Artificial Immune Recognition System) has shown itself to be a competitive classifier. It has also proved to be the most popular immune inspired classifier. However, rath...
Andrew Secker, Alex Alves Freitas
ENTCS
2008
132views more  ENTCS 2008»
15 years 7 months ago
Distributed Verification of Multi-threaded C++ Programs
Verification of multi-threaded C++ programs poses three major challenges: the large number of states, states with huge sizes, and time intensive expansions of states. This paper p...
Stefan Edelkamp, Shahid Jabbar, Damian Sulewski