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pro vyhledávání: '"Le, Nhi Ha Lan"'
In this paper, we explore model-based approach to training robust and interpretable binarized regression models for multiclass classification tasks using Mixed-Integer Programming (MIP). Our MIP model balances the optimization of prediction margin an
Externí odkaz:
http://arxiv.org/abs/2112.00434
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI).
In this paper, we explore model-based approach to training robust and interpretable binarized regression models for multiclass classification tasks using Mixed-Integer Programming (MIP). Our MIP model balances the optimization of prediction margin an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ed8463f4708f997f6b6528f6af8cfd2
https://doi.org/10.1109/ssci51031.2022.10022152
https://doi.org/10.1109/ssci51031.2022.10022152
