Operator-adaptive PLS and Ridge models internalize preprocessing selection via linear operators and fold-local branches, achieving median RMSEP/PLS ratio of 0.960 on 57 datasets and 2.22% improvement over tuned Ridge on 52 datasets.
Extended multiplicative signal correction and spectral interference subtraction
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Reframing preprocessing selection as model-internal calibration in near-infrared spectroscopy: A large-scale benchmark of operator-adaptive PLS and Ridge models
Operator-adaptive PLS and Ridge models internalize preprocessing selection via linear operators and fold-local branches, achieving median RMSEP/PLS ratio of 0.960 on 57 datasets and 2.22% improvement over tuned Ridge on 52 datasets.