Abstract: Approximate computing, frequently used in error tolerant applications, aims to achieve higher circuit performances by allowing the possibility of inaccurate ...
Abstract: For classification with small training samples and high dimensionality, feature selection plays an important role in avoiding overfitting problems and improving classification performance.
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