AI RESEARCH
Algebraic Machine Learning for Small-to-Medium Datasets Is Competitive against Strong Standard Baselines
arXiv CS.LG
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ArXi:2605.22155v1 Announce Type: new Symbolic methods are generally not considered competitive with strong modern learners on realistic supervised tasks. We evaluate Algebraic Machine Learning (AML), a framework that learns through subdirect decomposition of algebraic structure rather than numerical optimization, against standard baselines on image and tabular classification across varying