Search alternatives:
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
binary simple » binary image (Expand Search), binary people (Expand Search)
simple based » sample based (Expand Search), samples based (Expand Search), complex based (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
binary simple » binary image (Expand Search), binary people (Expand Search)
simple based » sample based (Expand Search), samples based (Expand Search), complex based (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment
Published 2019“…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …”
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Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data
Published 2022“…In this study, the effects of CI and data scarcity (DS) on the performance of binary classification models were investigated using ToxCast bioassay data. …”
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The comparison of the accuracy score of the benchmark and the proposed models.
Published 2025Subjects: -
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The Pseudo-Code of the IRBMO Algorithm.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
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