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Learning in Non-Stationary Environments: Methods and Applications 2012 edition
Moamar Sayed-mouchaweh
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Learning in Non-Stationary Environments: Methods and Applications 2012 edition
Moamar Sayed-mouchaweh
Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems.
440 pages, 44 black & white tables, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | May 8, 2014 |
| ISBN13 | 9781489993403 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 440 |
| Dimensions | 155 × 235 × 23 mm · 630 g |
| Editor | Lughofer, Edwin |
| Editor | Sayed-Mouchaweh, Moamar |
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