2 papers
cs.LG2026
A Kernel-Based Modular Discriminant Analysis Framework for Small-Sample Learning
Lingxiao Qu, Yan Pei
The small-sample-size (SSS) problem remains a fundamental challenge in machine learning when labeled data are scarce due to cost, accessibility, or ethical constraints. While numer…
cs.LG2026
Exact Degeneracy Under Balanced k-Shot Sampling:Consequences for Small-Sample Discriminant Analysis on LLM Embeddings
Lingxiao Qu
Balanced k-shot sampling draws exactly k labeled examples per class. We show that it induces an exact, provable degeneracy in a family of small-sample discriminant estimators. Unde…