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Adaptive Multi-Order Penalty and Dual-Driven Weighting: aisPLS Algorithm for Raman Baseline Correction with Weak Peak Preservation. [PDF]

Molecules
He J, Bai Y, Jv Z, Chen Z, Wang B.
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Comparative Evaluation of Allometric, Machine Learning, and Ensemble Approaches for Modeling Dynamic Structure-Fresh Weight Relationships in Sweet Pepper. [PDF]

Plants (Basel)
Kang JH, Moon T.
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The Weight Balance Function on Trees

Discrete Applied Mathematics, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fred R. McMorris, Henry Martyn Mulder, Robert C. Powers   +2 more
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The Probability Weighting Function

Econometrica, 1998
Summary: A probability weighting function \(w(p)\) is a prominent feature of several non-expected utility theories, including prospect theory and rank-dependent models. Empirical estimates indicate that \(w(p)\) is regressive (first \(w(p)>p\), then \(w(p)
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