871 search results - page 65 / 175 » Selection of Classifiers Based on Multiple Classifier Behavi... |
130
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GRC
2010
IEEE
15 years 1 months ago
2010
IEEE
Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality clas...
119
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
129
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CVPR
2005
IEEE
16 years 5 months ago
2005
IEEE
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
JMLR
2010
14 years 10 months ago
2010
Commonly to classify new object in Data Mining one should estimate its similarity with given classes. Function of Rival Similarity (FRiS) is assigned to calculate quantitative mea...
117
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...