On the antiderivatives of \(x^p/(1 - x)\) with an application to optimize loss functions for classification with neural networks (Q2122774)
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scientific article
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | On the antiderivatives of \(x^p/(1 - x)\) with an application to optimize loss functions for classification with neural networks |
scientific article |
Statements
On the antiderivatives of \(x^p/(1 - x)\) with an application to optimize loss functions for classification with neural networks (English)
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7 April 2022
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supervised learning
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classification
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crossentropy
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power error loss function
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deep learning
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incomplete beta function
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hypergeometric function
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0.8260397
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0.8260072
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0.81841356
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0.8159857
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0.8107146
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