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An Elementary Introduction to Statistical Learning Theory - Wiley Series in Probability and Statistics Kulkarni, Sanjeev (Princeton University)
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An Elementary Introduction to Statistical Learning Theory - Wiley Series in Probability and Statistics
Kulkarni, Sanjeev (Princeton University)
* Serves as a fundamental introduction to statistical learning theory and its role in understanding human learning and inductive reasoning. * Topics of coverage include: probability, pattern recognition, optimal Bayes decision rule, nearest neighbor rule, kernel rules, neural networks, and support vector machines.
232 pages, Illustrations
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2011. gada 15. jūnijs |
| ISBN13 | 9780470641835 |
| Izdevēji | John Wiley & Sons Inc |
| Lapas | 232 |
| Izmēri | 162 × 237 × 17 mm · 498 g |
| Valoda | Angļu |
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