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- W1756403341 abstract "We offer a novel view of AdaBoost in a statistical setting. We propose a Bayesian model for binary classification in which label noise is modeled hierarchically. Using variational inference to optimize a dynamic evidence lower bound, we derive a new boosting-like algorithm called VIBoost. We show its close connections to AdaBoost and give experimental results from four datasets." @default.
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- W1756403341 date "2012-09-10" @default.
- W1756403341 modified "2023-09-27" @default.
- W1756403341 title "A Bayesian Boosting Model" @default.
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