Boosting has emerged as a useful machine learning technique over the past three decades, attracting increased attention. Most advancements in this area, however, have primarily focused on numerical im

NIAID Data Ecosystem20

Performance of Boosting-based models during 10-fold cross validation and testing stages at Kunming station.

机器学习模型评估

Boosting算法

Performance of Boosting-based models during 10-fold cross validation and testing stages at Kunming station.

Figshare2020-06-29 更新40

Code, Data, and Experimental Results for "Boosting Revisited: Benchmarking and Advancing LP-Based Ensemble Methods"

集成学习

Boosting算法

This dataset contains (1) all code needed to reproduce our results, (2) the 20 data sets on which we report results, and (3) all experiment results, related to the paper: "Boosting Revisited: Benchmar

4TU.ResearchData2025-10-22 更新20

Data for: SMLBoost-Adopting a Soft-margin like Strategy in Boosting

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