Directional Chebyshev harmonics enable spectral path regression for tabular data with closed-form training, competitive accuracy, and explicit interpretability.
Greedy function approximation: a gradient boosting machine.Annals of statistics, pages 1189–1232
2 Pith papers cite this work. Polarity classification is still indexing.
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New imbalanced NGS dataset pairs QC-34 features with ENCODE blocklist features on the same human and mouse samples to study quality control prediction.
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Spectral Path Regression: Directional Chebyshev Harmonics for Interpretable Tabular Learning
Directional Chebyshev harmonics enable spectral path regression for tabular data with closed-form training, competitive accuracy, and explicit interpretability.
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An Imbalanced Dataset with Multiple Feature Representations for Studying Quality Control of Next-Generation Sequencing
New imbalanced NGS dataset pairs QC-34 features with ENCODE blocklist features on the same human and mouse samples to study quality control prediction.