ABC-LogitBoost for Multi-class Classification

08/28/2009

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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.

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ABC-LogitBoost for Multi-class Classification

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An Empirical Evaluation of Four Algorithms for Multi-Class Classification: Mart, ABC-Mart, Robust LogitBoost, and ABC-LogitBoost

A Generalization Error Bound for Multi-class Domain Generalization

DOLDA - a regularized supervised topic model for high-dimensional multi-class regression

Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class Classification

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ABC-LogitBoost for Multi-class Classification

Related Research

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