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Dataset Shift in Machine Learning - Neural Information Processing series Joaquin Quinonero-candela
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
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2008年12月12日 |
| ISBN13 | 9780262170055 |
| 出版社 | MIT Press Ltd |
| ページ数 | 248 |
| 寸法 | 261 × 210 × 21 mm · 704 g |
| 編集者 | Lawrence, Neil D. (The University of Sheffield) |
| 編集者 | Quinonero-Candela, Joaquin (Microsoft Research Ltd.) |
| 編集者 | Schwaighofer, Anton (Microsoft Research Ltd.) |
| 編集者 | Sugiyama, Masashi (Associate Professor, Tokyo Institute of Technology) |
