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Explainable and Interpretable Models in Computer Vision and Machine Learning - The Springer Series on Challenges in Machine Learning 2018 edition
Explainable and Interpretable Models in Computer Vision and Machine Learning - The Springer Series on Challenges in Machine Learning
299 pages, 58 Illustrations, color; 15 Illustrations, black and white; XVII, 299 p. 73 illus., 58 il
| Mediji | Grāmatas Book |
| Izlaists | 2019. gada 16. janvāris |
| ISBN13 | 9783319981307 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 299 |
| Izmēri | 150 × 220 × 20 mm · 635 g |
| Valoda | Vācu |
| Redaktors | Baro, Xavier |
| Redaktors | Escalante, Hugo Jair |
| Redaktors | Escalera, Sergio |
| Redaktors | Guclu, Umut |
| Redaktors | Gucluturk, Yagmur |
| Redaktors | Guyon, Isabelle |
| Redaktors | Van Gerven, Marcel |