Engineering impact 16

S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection

S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection arXiv:2604.19072v1 Announce Type: cross Abstract: Semi-supervised learning with manifold regularization is a classical framework fo…

Why it matters

Look past the headline—the real story is how semisupervised intersects with ongoing meta trends in the industry.

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