10594 search results - page 176 / 2119 » Learning classifier systems |
100
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CIARP
2007
Springer
15 years 8 months ago
2007
Springer
We present a methodology to analyze Multiple Classifiers Systems (MCS) performance, using the disagreement concept. The goal is to define an alternative approach to the conventiona...
95
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IEAAIE
2010
Springer
14 years 12 months ago
2010
Springer
The present paper studies the influence of two distinct factors on the performance of some resampling strategies for handling imbalanced data sets. In particular, we focus on the n...
157
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BMCBI
2010
15 years 2 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
116
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CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
121
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NN
2008
Springer
15 years 1 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...