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» Ensemble Methods in Machine Learning
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83
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ICALT
2005
IEEE
15 years 6 months ago
Predicting Students' Marks in Hellenic Open University
The ability to provide assistance for a student at the appropriate level is invaluable in the learning process. Not only does it aid the student’s learning process but also prev...
Sotiris B. Kotsiantis, Panayiotis E. Pintelas
111
Voted
ICML
2010
IEEE
15 years 1 months ago
Multi-Class Pegasos on a Budget
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
Zhuang Wang, Koby Crammer, Slobodan Vucetic
94
Voted
ML
2008
ACM
134views Machine Learning» more  ML 2008»
15 years 16 days ago
Multilabel classification via calibrated label ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
Johannes Fürnkranz, Eyke Hüllermeier, En...
GECCO
2007
Springer
173views Optimization» more  GECCO 2007»
15 years 6 months ago
UCSpv: principled voting in UCS rule populations
Credit assignment is a fundamental issue for the Learning Classifier Systems literature. We engage in a detailed investigation of credit assignment in one recent system called UC...
Gavin Brown, Tim Kovacs, James A. R. Marshall
BMCBI
2010
143views more  BMCBI 2010»
15 years 21 days ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli