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Determinantal Point Processes for Machine Learning - Foundations and Trends® in Machine Learning Alex Kulesza
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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
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | December 18, 2012 |
| ISBN13 | 9781601986283 |
| Publishers | now publishers Inc |
| Pages | 178 |
| Dimensions | 156 × 234 × 10 mm · 258 g |
| Language | English |
See all of Alex Kulesza ( e.g. Paperback Book )