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kernel ridge regression

technology10 mentionslast seen Oct 27, 2026

A machine learning model type compared in this work for predicting defect properties.

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Highly Adaptive Ridgedepends onkernel ridge regression92% confidence1 source
kernel ridge regressiondepends onneural tangent kernel92% confidence1 source
softmax-attention transformerimplementskernel ridge regression90% confidence1 source
efficient benchmarkingdepends onkernel ridge regression90% confidence1 source
kernel ridge regressionapplies tomolecular property prediction88% confidence1 source
kernel ridge regressiondepends onSobolev space88% confidence1 source
semantic cachingdepends onkernel ridge regression88% confidence1 source
buffer-parameterized machine learning surrogate modeldepends onkernel ridge regression75% confidence1 source

kernel ridge regression

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kernel ridge regressionapplies tomolecular property prediction

88% confidence1 supporting mentions

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preprintarXivOct 2, 2026Spectral Analysis of Molecular Features: When Richer Features Do Not Guarantee Better Generalization
kernel ridge regression across diverse representations, including molecular fingerprints (ECFP), pretrained transformers, graph neural networks, and 3D descriptors, evaluated on QM9, MoleculeNet, and Therapeutics Data Commons benchmarks