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235
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CVPR
2011
IEEE
14 years 7 months ago
Multi-label Learning with Incomplete Class Assignments
We consider a special type of multi-label learning where class assignments of training examples are incomplete. As an example, an instance whose true class assignment is (c1, c2, ...
Serhat Bucak, Rong Jin, Anil Jain
123
Voted
AAI
2006
110views more  AAI 2006»
15 years 3 months ago
Evaluation of Classifiers for an Uneven Class Distribution Problem
Classification problems with uneven class distributions present several difficulties during the training as well as during the evaluation process of classifiers. A classification ...
Sophia Daskalaki, Ioannis Kopanas, Nikolaos M. Avo...
132
Voted
ASE
2007
143views more  ASE 2007»
15 years 3 months ago
Composition inference for UML class diagrams
Knowing which associations are compositions is important in a tool for the reverse engineering of UML class diagrams. Firstly, recovery of composition relationships bridges the ga...
Ana Milanova
127
Voted
BMCBI
2004
87views more  BMCBI 2004»
15 years 3 months ago
Selection of informative clusters from hierarchical cluster tree with gene classes
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
Petri Törönen
102
Voted
ECTEL
2009
Springer
15 years 10 months ago
Distributed Awareness for Class Orchestration
The orchestration process consists of managing classroom interactions at multiple levels: individual activities, teamwork and class-wide sessions. We study the process of orchestra...
Hamed S. Alavi, Pierre Dillenbourg, Fréd&ea...