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Learning in Non-Stationary Environments: Methods and Applications Moamar Sayed-mouchaweh 2012 edition
Learning in Non-Stationary Environments: Methods and Applications
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 Hardcover Book (Book with hard spine and cover) |
| Released | April 13, 2012 |
| ISBN13 | 9781441980199 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 440 |
| Dimensions | 155 × 235 × 25 mm · 807 g |
| Language | English |
| Editor | Lughofer, Edwin |
| Editor | Sayed-Mouchaweh, Moamar |