RKHS-driven Factor Modeling

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Modeling latent factors in a tensor decomposition via Reproducing Kernel Hilbert Spaces (RKHS) to enforce continuity.

Why It Matters

The use of RKHS is the key mechanism enabling the “functional” adaptability and continuity in the decomposition factors.

Evidence

The FTD employs reproducing kernel Hilbert spaces (RKHS) to model continuous modes without requiring an a-priori basis

Related Papers

• openalex-2603.25530-adaptive-subspace-modeling-with-functional-tucker-decomposit