Determinantal Point Processes for Machine Learning
| Author | : Alex Kulesza |
| Publisher | : |
| Total Pages | : 176 |
| Release | : 2012 |
| ISBN-10 | : 1601986297 |
| ISBN-13 | : 9781601986290 |
| Rating | : 4/5 (97 Downloads) |
Book Synopsis Determinantal Point Processes for Machine Learning by : Alex Kulesza
Download or read book Determinantal Point Processes for Machine Learning written by Alex Kulesza and published by . This book was released on 2012 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides a comprehensible introduction to DPPs, focusing on the intuitions, algorithms, and extensions that are most relevant to the machine learning community.
