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On disperse generalized linear models
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DOI：10.1016/j.cor.2026.107607.png)
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Abstract
En 中文
• P-accurate sparse and diverse generalized linear models are sought. • Different definitions of diversity are investigated. • The model is a biobjective P-dispersion problem. • A scalable heuristic strategy is proposed.
Keywords:
Machine learning
Explainability
Generalized linear models
P-dispersion problem
P
Journal
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IF:
4.3
Papers:
202
Citations:
0