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» Learning Preferences for Multiclass Problems
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CDC
2009
IEEE
149views Control Systems» more  CDC 2009»
13 years 8 months ago
Context-dependent multi-class classification with unknown observation and class distributions with applications to bioinformatic
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
Alex S. Baras, John S. Baras
AI
2008
Springer
13 years 7 months ago
Label ranking by learning pairwise preferences
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
Eyke Hüllermeier, Johannes Fürnkranz, We...
MCS
2009
Springer
14 years 9 days ago
An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...
Chun-Xia Zhang, Robert P. W. Duin
AUSAI
2008
Springer
13 years 9 months ago
Discriminating Against New Classes: One-class versus Multi-class Classification
Many applications require the ability to identify data that is anomalous with respect to a target group of observations, in the sense of belonging to a new, previously unseen `atta...
Kathryn Hempstalk, Eibe Frank
ECAI
2006
Springer
13 years 9 months ago
Return of the JTMS: Preferences Orchestrate Conflict Learning and Solution Synthesis
We use a lexicographical preference order on the problem space to combine solution synthesis with conflict learning. Given two preferred solutions of two subproblems, we can either...
Ulrich Junker, Olivier Lhomme