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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| Other Authors: | , , |
| Format: | article |
| Language: | eng |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10316/44320 |
| Country: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/44320 |