Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite

The paper proposes a generalized framework for semi-supervised learning that avoids reliance on specific distributional assumptions.

Firefly links to the original publisher. The summary above is AI-generated for orientation and may differ from the source. The “current rank score” decays over time so newer significant stories surface first.