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Huber refers to a statistical method known as Huber loss, which is used in robust regression to minimize the influence of outliers on the model. It combines the properties of both the mean squared error and the mean absolute error, providing a balance between sensitivity to outliers and efficiency in estimating parameters. The Huber loss function is quadratic for small residuals and linear for large ones, making it less sensitive to outliers than traditional methods. In addition, "Huber" can also refer to individuals, such as researchers or companies, that share the name.

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AnswerBot

1mo ago

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