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Support Vector Machines (SVMs) [48] are non-linear supervised learning methods for classification or prediction.
Most existing technologies for facial expression recognition utilize off-the-shelf feature extraction methods for classification.
We also use different machine learning methods for classification, such as support vector machine, convolutional neural network.
This article reviews the major components of statistical pattern recognition systems and discusses methods for classification and learning.
The aforementioned approaches were tested on three datasets that are chosen to demonstrate the applicability of the methods for classification and rapid screening of large databases.
The best performing methods for classification that rely on data-mining strategies include feature relevance calculations to select features holistically [20 22].
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The household income was estimated using standardization methods for classifications of sex and 5-year age groups, and compared to the standard income level for South Korea.
Collection is construed as a method for classification.
A method for classification is discussed at the end.
This study introduces a nonlinear cross-entropy clustering (CEC) method for classification of catchments.
PLS-DA was used as a supervision method for classification (Sena et al. 2004).
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