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Dataset Shift in Machine Learning - Neural Information Processing series Joaquin Quinonero-candela
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Dataset Shift in Machine Learning - Neural Information Processing series
Joaquin Quinonero-candela
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.
248 pages, Illustrations, charts
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2008. gada 12. decembris |
| ISBN13 | 9780262170055 |
| Izdevēji | MIT Press Ltd |
| Lapas | 248 |
| Izmēri | 261 × 210 × 21 mm · 704 g |
| Redaktors | Lawrence, Neil D. (The University of Sheffield) |
| Redaktors | Quinonero-Candela, Joaquin (Microsoft Research Ltd.) |
| Redaktors | Schwaighofer, Anton (Microsoft Research Ltd.) |
| Redaktors | Sugiyama, Masashi (Associate Professor, Tokyo Institute of Technology) |
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