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In cheminformatics, GPs have been applied to different classification and regression tasks using either radial basis function or rational quadratic kernels based on vectorial descriptors [4, 5].
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The girls applied to different colleges.
This strategy has been applied to CTC over different classification contexts.
In this work, we show that a systematic and efficient algorithm, mixed integer linear programming based hyper-box enclosure (HBE) approach, can be applied to classification of different cancer types efficiently.
This research proposes a generic methodology for dimensionality reduction upon time frequency representations applied to the classification of different types of biosignals.
Subsequently, supervised methods, such as Support Vector Machines (SVMs) [ 6], Multi-Layer Perceptrons (MLPs or NNs) [ 7, 8], K Nearest Neighbor (KNN) methods [ 9, 10], etc., have been successfully applied to the classification of different tissues.
Data is subject to different classification levels.
Different classification techniques were applied to the classification of the lesions.
Table3 shows the results for different classifiers and single features when applied to tumor classification.
The ensemble framework is applied to sentiment classification tasks, with the aim of efficiently integrating different feature sets and classification algorithms to synthesize a more accurate classification procedure.
Since metabolomic data can be obtained from different samples or analytical techniques, data fusion has been applied to improve classification accuracy.
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