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» TRUST-TECH based Methods for Optimization and Learning
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94
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GECCO
2007
Springer
228views Optimization» more  GECCO 2007»
15 years 7 months ago
Collective behavior based hierarchical XCS
This paper attempts to extend the XCS research by analyzing the impact of information exchange between XCS agents on classifier performance. Two types of information are exchange...
Matthew Gershoff, Sonia Schulenburg
PR
2006
164views more  PR 2006»
15 years 20 days ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung
ISMIR
2005
Springer
165views Music» more  ISMIR 2005»
15 years 6 months ago
Inferring Efficient Hierarchical Taxonomies for MIR Tasks: Application to Musical Instruments
A number of approaches for automatic audio classification are based on hierarchical taxonomies since it is acknowledged that improved performance can be thereby obtained. In this...
Slim Essid, Gaël Richard, Bertrand David
206
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ROCAI
2004
Springer
15 years 6 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
134
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MICCAI
2010
Springer
14 years 11 months ago
3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
Chaohui Wang, Olivier Teboul, Fabrice Michel, Salm...