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Deterministic Gradient-Descent Learning of Linear Regressions: Adaptive Algorithms, Convergence Analysis and Noise

Kang-Zhi Liu, Chao Gan

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |May 10, 2024
    PubMed
    Summary

    This study introduces a deterministic weight learning method for linear regression, guaranteeing convergence for online applications. Adaptive hyperparameters are derived to compensate for measurement noise, enhancing learning performance.

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