Jul 15, 2023 · This paper proposes a robust adaptive linear regression method named TC-ALASSO (Truncated Cauchy Adaptive LASSO), in which model learning and feature selection ...
Jul 15, 2023 · 正则化的噪声鲁棒模型为处理回归任务中的标签噪声提供了有效的方法。他们通常使用鲁棒损失来应对标签噪声，并通过特征选择进一步增强模型的鲁棒性。但它们 ...
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Apr 1, 2024 · This paper proposes a noise-robust adaptive feature mode decomposition method for compound fault diagnosis in rotating machinery.
Missing: regression severe
Jul 13, 2021 · Our data-adaptive robustifying procedure in the linear regression problem (AdaReg) showed a significant advantage in both simulation studies and real data ...
May 2, 2023 · These results highlight the contributions of adaptive mechanisms at multiple auditory processing stages to achieve robust auditory categorization.
May 17, 2022 · This paper proposes a new adaptive filter based on support vector regression. The method abandons the elimination of outliers generated by Doppler Velocity ...
Abstract. We study the problem of robust linear regression with response variable corruptions. We consider the oblivious adversary model, where the ...
Nov 26, 2021 · To further improve the robustness of ASLM to heavy-tail noises, a robust ASLM (RASLM) algorithm is proposed with the help of kernel function ...
In this paper, we propose a novel adaptive robust feature interaction selection model for regression with heavy-tailed distributions, termed Adaptive Robust ...
Sep 6, 2024 · In this study, we propose a new regression estimator by employing an appropriate weighting scheme in the AMML estimation method. The resulting ...