Tag: thresholding
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Adaptive Iterative Soft-Thresholding Algorithm with the Median Absolute Deviation
Adaptive Iterative Soft-Thresholding Algorithm with the Median Absolute Deviation arXiv:2507.02084v1 Announce Type: new Abstract: The adaptive Iterative Soft-Thresholding Algorithm (ISTA) has been a popular algorithm for finding a desirable solution to the LASSO problem without explicitly tuning the regularization parameter $lambda$. Despite that the adaptive ISTA is a successful practical algorithm, few theoretical results exist.…
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Different thresholding methods on Nearest Shrunken Centroid algorithm
Different thresholding methods on Nearest Shrunken Centroid algorithm arXiv:2501.00632v1 Announce Type: new Abstract: This article considers the impact of different thresholding methods to the Nearest Shrunken Centroid algorithm, which is popularly referred as the Prediction Analysis of Microarrays (PAM) for high-dimensional classification. PAM uses soft thresholding to achieve high computational efficiency and high classification accuracy…
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Mastering Model Uncertainty: Thresholding Techniques in Deep Learning
Mastering Model Uncertainty: Thresholding Techniques in Deep Learning Image generated by Dall-e A few words on thresholding, the softmax activation function, introducing an extra label, and considerations regarding output activation functions. In many real-world applications, machine learning models are not designed to make decisions in an all-or-nothing manner. Instead, there are situations where it is more…