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» Machine learning in sedimentation modelling
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ICML
2005
IEEE
16 years 7 months ago
Optimizing abstaining classifiers using ROC analysis
Classifiers that refrain from classification in certain cases can significantly reduce the misclassification cost. However, the parameters for such abstaining classifiers are ofte...
Tadeusz Pietraszek
ICML
2005
IEEE
16 years 7 months ago
Expectation maximization algorithms for conditional likelihoods
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
Jarkko Salojärvi, Kai Puolamäki, Samuel ...
ALT
2006
Springer
16 years 3 months ago
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
Hsuan-Tien Lin, Ling Li
IAT
2003
IEEE
15 years 12 months ago
SIMPLE - A Multi-Agent System for Simultaneous and Related Auctions
This work describes a multi-agent architecture and strategy for trade in simultaneous and related auctions. The proposed SIMPLE Agency combines an integer programming model, machi...
Ruy Luiz Milidiú, Taciana Melcop, Frederico...
ECTEL
2006
Springer
15 years 10 months ago
Extending SCORM to Create Adaptive Courses
Abstract. Current e-learning standards have been designed to provide reusability of educational contents and interoperability between systems. Besides these features, content perso...
Marta Rey-López, Ana Fernández Vilas...