Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy
In time-series classification, conventional deep learning methods often treat continuous signals as discrete windows, each analyzed independently without considering the contextual information from adjacent windows. This study introduces a novel, lightweight Bayesian meta-classification approach des...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2024-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/135583 |
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