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» Learning Preferences for Multiclass Problems
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ICML
2007
IEEE
14 years 9 months ago
Transductive regression piloted by inter-manifold relations
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...
Huan Wang, Shuicheng Yan, Thomas S. Huang, Jianzhu...
ICMLA
2010
13 years 7 months ago
Classification Models with Global Constraints for Ordinal Data
Ordinal classification is a form of multi-class classification where there is an inherent ordering between the classes, but not a meaningful numeric difference between them. Althou...
Jaime S. Cardoso, Ricardo Sousa
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 3 months ago
Boosting for Learning Multiple Classes with Imbalanced Class Distribution
Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which ...
Yanmin Sun, Mohamed S. Kamel, Yang Wang 0007
ECML
2007
Springer
14 years 3 months ago
On Minimizing the Position Error in Label Ranking
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...
Eyke Hüllermeier, Johannes Fürnkranz
ICCBR
2003
Springer
14 years 2 months ago
Case-Based Ranking for Decision Support Systems
Abstract. Very often a planning problem can be formulated as a ranking problem: i.e. to find an order relation over a set of alternatives. The ranking of a finite set of alternat...
Paolo Avesani, Sara Ferrari, Angelo Susi