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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
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 8 de mayo de 2014 |
| ISBN13 | 9781489993403 |
| Editores | Springer-Verlag New York Inc. |
| Páginas | 440 |
| Dimensiones | 155 × 235 × 23 mm · 630 g |
| Lengua | Inglés |
| Editor | Lughofer, Edwin |
| Editor | Sayed-Mouchaweh, Moamar |
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