Bayesian Neural Networks with Regularization for Sparse Zero-Inflated Data Modeling
Zero inflation is pervasive across text mining, event log, and sensor analytics, and it often degrades the predictive performance of analytical models. Classical approaches, most notably the zero-inflated Poisson (ZIP) and zero-inflated negative binomial (ZINB) models, address excess zeros but rely...
Збережено в:
| Автор: | |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2026-01-01
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| Серія: | Information |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2078-2489/17/1/81 |
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