seniorCurse of Dimensionality
What is the role of eigenvalue decay in high-dimensional learning?
Updated May 15, 2026
Short answer
It determines effective dimensionality of data.
Deep explanation
Fast eigenvalue decay implies data lies near a low-dimensional subspace, making learning easier. Slow decay indicates high intrinsic complexity, worsening curse of dimensionality effects.
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