ABC-LogitBoost for Multi-class Classification

2009/08/28 by Ping Li, Li, Ping · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Face and Expression Recognition #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Data Classification #cs.AI #cs.LG

paper · pdf · doi:10.48550/arxiv.0908.4144

arxiv created 2009/08/28 · openalex publication_date 2009/08/28 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We develop abc-logitboost, based on the prior work on abc-boost and robust logitboost. Our extensive experiments on a variety of datasets demonstrate the considerable improvement of abc-logitboost over logitboost and abc-mart.

Citations

• A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

Cited by

• AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem

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