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EnglishThis paper provides a novel algorithm for supporting automatic learning oriented to advanced human-machine interfaces. The algorithm introduces several points of innovativeness, based on complex similarity metrics involving several features of the whole learning process. A comprehensive experimental assessment and analysis of the proposed algorithm on both synthetic and real-life data sets confirms the benefits deriving from our proposal.
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| Titolo: | Automatic Learning for Supporting Advanced Human-Machine Interfaces | |
| Autori: | ||
| Data di pubblicazione: | 2015 | |
| Abstract: | This paper provides a novel algorithm for supporting automatic learning oriented to advanced human-machine interfaces. The algorithm introduces several points of innovativeness, based on complex similarity metrics involving several features of the whole learning process. A comprehensive experimental assessment and analysis of the proposed algorithm on both synthetic and real-life data sets confirms the benefits deriving from our proposal. | |
| Handle: | http://hdl.handle.net/20.500.11770/312760 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/20.500.11770/312760
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