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ICMLA
2010
13 years 2 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
ISCI
2008
137views more  ISCI 2008»
13 years 4 months ago
Stochastic dominance-based rough set model for ordinal classification
In order to discover interesting patterns and dependencies in data, an approach based on rough set theory can be used. In particular, Dominance-based Rough Set Approach (DRSA) has...
Wojciech Kotlowski, Krzysztof Dembczynski, Salvato...
CORR
2006
Springer
135views Education» more  CORR 2006»
13 years 4 months ago
Classification of Ordinal Data
Many real life problems require the classification of items into naturally ordered classes. These problems are traditionally handled by conventional methods intended for the class...
Jaime S. Cardoso
ICDM
2010
IEEE
132views Data Mining» more  ICDM 2010»
13 years 2 months ago
Monotone Relabeling in Ordinal Classification
In many applications of data mining we know beforehand that the response variable should be increasing (or decreasing) in the attributes. Such relations between response and attrib...
Ad Feelders
AUIC
2006
IEEE
13 years 10 months ago
User interface layout with ordinal and linear constraints
User interfaces as well as documents use tabular layout mechanisms. The HTML table construct and the GridBag layout in Java are typical examples. There are, however, shortcomings ...
Christof Lutteroth, Gerald Weber