Collaborative Optimization of Multiclass Imbalanced Learning: Density-Aware and Region-Guided Boosting

arXiv:2512.22478 · cs.LG · Submitted 2025-12-27 · Read on arXiv

cs.LG

Submitted: 2025-12-27

Updated: 2026-09-15

Code: https://github.com/ChuantaoLi/DARG

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Density Factor — 29× in this paper
• Confidence Factor — 26× in this paper
• Accuracy — 9× in this paper · explained in 1 episode
• AUC — 8× in this paper · explained in 2 episodes
• Clustering — 8× in this paper · explained in 2 episodes
• Ensemble Learning — 8× in this paper · explained in 2 episodes
• Region-Guided Generation — 8× in this paper
• Generalization — 5× in this paper · explained in 13 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Bayesian Optimization — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Sparsity — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Adaptive Weighting — 1× in this paper · explained in 1 episode
• Feature Selection — 1× in this paper · explained in 4 episodes
• Geometric Distribution — 1× in this paper · explained in 2 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Hypergraph — 1× in this paper · explained in 2 episodes
• Initial Data — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Transformer — 1× in this paper · explained in 2 episodes

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