| 1. | This Winsorised estimator is also known as the Huber loss function.
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| 2. | Other loss functions are used in statistics, particularly in robust statistics.
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| 3. | The choice of a loss function is not arbitrary.
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| 4. | There is a lot of flexibility allowed in the choice of loss function.
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| 5. | The loss function of Taguchi better illustrates this concept.
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| 6. | The example here uses a loss function, Cost.
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| 7. | SVMs utilizing the hinge loss function can also be solved using quadratic programming.
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| 8. | That is, minimize the expected risk for a Least-squares loss function.
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| 9. | What is important is the relationship between the loss function and the posterior probability.
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| 10. | Normally a admissible under the adopted loss function.
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