Dataset Shift in Machine Learning -
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An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions.Dataset shift is a common problem in predictive modeling that occurs when the joint distribution of inputs and outputs differs between training and test stages. Covariate shift, a particular case of dataset shift, occurs ... Full description
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Description
More Information
| Publisher | MIT Press |
|---|---|
| Release year | 2022 |
| Cover type | Softcover |
| EAN | 9780262545877 |