Distributed semi-supervised partial multi-dimensional learning via subspace learning
Abstract Multi-dimensional classification (MDC) aims to simultaneously train a number of multi-class classifiers for multiple heterogeneous class spaces. However, as supervised learning methods, the existing MDC algorithms require that all the training data be precisely labeled in multi-dimensional...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2025-06-01
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| coleção: | Complex & Intelligent Systems |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s40747-025-01942-5 |
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