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ICML
2005
IEEE
15 years 11 months ago
Augmenting naive Bayes for ranking
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
Harry Zhang, Liangxiao Jiang, Jiang Su
ICML
2004
IEEE
15 years 11 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
ICML
2004
IEEE
15 years 11 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
ICSE
2008
IEEE-ACM
15 years 11 months ago
Design and implementation of the software architecture for a 3-D reconstruction system in medical imaging
The design and implementation of the reconstruction system in medical X-ray imaging is a challenging issue due to its immense computational demands. In order to ensure an efficien...
Holger Scherl, Stefan Hoppe, Markus Kowarschik, Jo...
SIGSOFT
2008
ACM
15 years 11 months ago
Explicit exception handling variability in component-based product line architectures
Separation of concerns is one of the overarching goals of exception handling in order to keep separate normal and exceptional behaviour of a software system. In the context of a s...
Ivo Augusto Bertoncello, Marcelo Oliveira Dias, Pa...