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Exploring passengers’ choice of transfer city in air-to-rail intermodal travel using an interpretable ensemble machine learning approach , author= · 2023

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ParamBoost: Gradient Boosted Piecewise Cubic Polynomials

cs.LG · 2026-04-20 · unverdicted · novelty 6.0

ParamBoost improves GAMs by fitting piecewise cubic polynomials via gradient boosting and supports constraints for continuity, monotonicity, convexity, and feature interactions.

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  • ParamBoost: Gradient Boosted Piecewise Cubic Polynomials cs.LG · 2026-04-20 · unverdicted · none · ref 15

    ParamBoost improves GAMs by fitting piecewise cubic polynomials via gradient boosting and supports constraints for continuity, monotonicity, convexity, and feature interactions.