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.