Contribution Tracking Feature Selection (CTFS) Based on the Fusion of Sparse Autoencoder and Mutual Information
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Abstract
For data mining tasks on large-scale data, feature selection is a pivotal stage that plays an important role in removing redundant or irrelevant features while improving classifier performance. Traditional wrapper feature sel... | Find, read and cite all the research you need on Tech Science Press
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Research context
OpenAlex topics: Advanced Algorithms and Applications · Face and Expression Recognition · Advanced Sensor and Control Systems
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References (34)
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