Online Nonlinear Estimation via Iterative L2-Space Projections
收藏DataCite Commons2026-01-07 更新2025-04-16 收录
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https://service.tib.eu/ldmservice/dataset/1c3fd90b-ce78-44b5-b7d1-c868cff761ed
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资源简介：
The proposed online learning paradigm is a significant extension of the conventional kernel adaptive filtering framework from RKHS to the space L2(RL, dµ) which has no reproducing kernel and which induces the best geometry in the sense of decorrelation.
提供机构：
TIB
创建时间：
2024-12-16
