MathDB6 problems
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Hybrid masking-and-compression conjecture for adversarial robustness
The LM-CCA strategy masks certain feature values completely, while the LC-CCA strategy uses compressed values; both are evaluated as counter-adversarial attack strategies for robus…
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The colorectal outlier explanation for performance differences between feature-selection methods
The data set named contains only individuals and has a significant number of outliers. The authors compare their strategy with the…
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Holistic regression's explicit constraints explain its smaller selected models
The paper compares holistic regression with MISDO and MIQO formulations on real-world datasets. Holistic regression explicitly models significance and multicollinearity constraints…
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Conjecture on applying the proposed feature selection scheme to alternative classifiers
The paper considers decision trees as weak learners and proposes a feature selection scheme that uses matrix-based information scores to define a non-uniform distribution favoring…
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The conjecture on less restrictive conditions for risk consistency in discriminant analysis
In the high-dimensional discriminant-analysis setting, let denote the conditional error rate of the sparse discriminant-analysis estimator, and let risk consis…
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Conjecture that simultaneous feature selection can outperform two-stage clustering
Simultaneous-selection conjecture. There are conditions under which simultaneous feature selection and clustering outperforms the two-stage approach. The conjecture concerns settin…