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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
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2012年12月18日 |
| ISBN13 | 9781601986283 |
| 出版社 | now publishers Inc |
| ページ数 | 178 |
| 寸法 | 156 × 234 × 10 mm · 258 g |
| 言語 | 英語 |
