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| 020 | _a9783319256672 | ||
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_a10.1007/978-3-319-25667-2 _2doi |
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_aQ325.5 _b.S29 2016 EB |
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| 082 | 0 | 4 | _a006.3 |
| 100 | 1 |
_aSayed-Mouchaweh, Moamar _997837 _0Local |
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| 245 | 1 | 0 |
_aLearning from Data Streams in Dynamic Environments _cby Moamar Sayed-Mouchaweh |
| 250 | _a1st ed. | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2016 |
|
| 300 |
_a1 recurso en línea (VIII, 75 p.) _b44 ilustraciones, 43 ilustraciones en color |
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| 336 |
_aTexto (visual) _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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_arecurso electrónico _bcr _2rdacarrier |
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_aSpringerBriefs in Applied Sciences and Technology _x2191-530X |
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| 505 | 0 | _aIntroduction to learning -- Learning in dynamic environment -- Handling concept drift -- Summary and final comments. | |
| 520 | 3 | _aThis book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments. | |
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_aAprendizaje automático _0comprobar BNE20060904520 _2embne _9166090 |
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_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115 |
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_aSpringerBriefs in Applied Sciences and Technology _x2191-530X _9134085 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-25667-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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