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CIKM
2004
Springer
15 years 11 months ago
Hierarchical document categorization with support vector machines
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
Lijuan Cai, Thomas Hofmann
IJCNN
2006
IEEE
16 years 19 hour ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
AIED
2009
Springer
16 years 18 days ago
Intelligent Support for Inquiry Learning from Images: A Learning Scenario and Tool
Inquiry learning involves the learner acquiring new concepts and skills by means of carrying out an investigation. Some previous studies have looked into how these learning activit...
Paul Mulholland, Zdenek Zdráhal, Jan Abraha...
EDBTW
2010
Springer
15 years 4 months ago
A decision support system to improve e-learning environments
Nowadays, due to the lack of face-to-face contact, distance course instructors have real difficulties knowing who their students are, how their students behave in the virtual cour...
Marta E. Zorrilla, Diego García, Elena &Aac...
AIME
2009
Springer
15 years 3 months ago
Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach
Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...
Aliaksei Kerhet, Cormac Small, Harvey Quon, Terenc...