Fractional Class-Specific Weighted Random Forest Optimization

doi:10.1016/j.inffus.2026.104689

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Fractional Class-Specific Weighted Random Forest Optimization

2026-08-08

Nour El Islem Karabadji

DOI：10.1016/j.inffus.2026.104689

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Abstract

En 中文

• We propose a class-specific weighted Random Forest framework. • Tree–class weights are optimized via fractional-order gradient descent. • Classical gradient descent is recovered as a special case (α= 1). • Dynamics introduce memory effects to improve optimization. • Extensive validation on 40 UCI datasets shows improved generalization.

Keywords:

Random forest

Classification

Caputo fractional derivatives

Tree weighting

Optimization

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