This survey takes a complementary, theory-grounded perspective, examining interpretability through four classical machine learning (ML) frameworks, each grounded in a mature mathematical theory, and concludes with open problems and directions for scalable, theory-grounded interpretability.
M. U. Khalid, Abeer A. K. Alharbi, Shariq Bashir et al.· Journal of King Saud Univers...· 0 citations
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