1863 search results - page 222 / 373 » A supervised learning approach for imbalanced data sets |
195
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
162
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ADBIS
1999
Springer
15 years 10 months ago
1999
Springer
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
178
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ISBI
2008
IEEE
16 years 7 months ago
2008
IEEE
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
155
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ICDM
2005
IEEE
16 years 1 days ago
2005
IEEE
Many practical applications require that distance measures to be asymmetric and context-sensitive. We introduce Context-sensitive Learnable Asymmetric Dissimilarity (CLAD) measure...
152
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KDD
1997
ACM
15 years 10 months ago
1997
ACM
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...