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Determinantal Point Processes for Machine Learning - Foundations and Trends® in Machine Learning Alex Kulesza
Determinantal Point Processes for Machine Learning - Foundations and Trends® in Machine Learning
Alex Kulesza
Provides a comprehensible introduction to determinantal point processes (DPPs), focusing on the intuitions, algorithms, and extensions that are most relevant to the machine learning community, and shows how DPPs can be applied to real-world applications.
178 pages
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2012. gada 18. decembris |
| ISBN13 | 9781601986283 |
| Izdevēji | now publishers Inc |
| Lapas | 178 |
| Izmēri | 156 × 234 × 10 mm · 258 g |
| Valoda | Angļu |
