Adaptive learning for dynamic environments: A comparative approach
Nowadays most learning problems demand adaptive solutions. Current challenges include temporal data streams, drift and non-stationary scenarios, often with text data, whether in social networks or in business systems. Various efforts have been pursued in machine learning settings to learn in such en...
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2017
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10316/44320 |
| País: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/44320 |