Pastāsti draugiem par šo preci:
Nonparametric Kernel Density Estimation and Its Computational Aspects - Studies in Big Data Artur Gramacki Softcover reprint of the original 1st ed. 2018 edition
Nonparametric Kernel Density Estimation and Its Computational Aspects - Studies in Big Data
Artur Gramacki
This book describes computational problems related to kernel density estimation (KDE) – one of the most important and widely used data smoothing techniques.
176 pages, 100 Tables, color; 70 Illustrations, black and white; XXIX, 176 p. 70 illus.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2019. gada 4. jūnijs |
| ISBN13 | 9783319890944 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 176 |
| Izmēri | 150 × 220 × 10 mm · 299 g |
| Valoda | Vācu |