ID 原文 译文
25675 多目标回归旨在使用一组共同的输入变量来预测多个连续变量，其现有方法可归类为问题转换法和算法适应法。 Multi-target regression (MTＲ) aimed to predict multiple continuous variables using a common set of input variables, whose existing methods could be classified as problem transformation methods (PTM ) and algorithm adaptation methods (AAM)．
25676 它的主要挑战在于如何对输入与输出空间的复杂关系进行建模，以及如何有效利用目标间的相关性。 Its main challenges were how to model the complex relationship between input and output space, and how to effectively utilize the correlation between targets．
25677 然而，现有的问题转换法很少同时考虑到这两方面。 However, the existing PTM rarely took both aspects into consideration．
25678 基于此，本文构建了一种问题转换法同时应对这两大挑战，提出了一种结合目标特定特征和目标相关性的多目标回归方法(Multi-Target Ｒegression via Specific Features and Inter-Target Corre-lations，TSF-TC)。 So, this paper constructs a problem transformation method named TSF-TC combining target-specific features and Inter-Target correlations．
25679 TSF-TC 通过对分箱后的样本进行聚类分析构建目标特定特征从而对输入与输出空间的复杂关系进行建模，通过有选择性地堆叠单目标预测值揭示目标间的相关性。 TSF-TC constructs specific features to per target by conducting clustering analysis on the samples after binning, and then reveals the correlation between targets by selectively stacking single target prediction．
25680 本文使用 TSF-TC 在 18 个多目标回归数据集上与现有多目标回归方法进行了对比实验，实验结果充分表明了 TSF-TC 的优势。 Comparative experiments with existing multi-target regression methods on 18 datasets fully demonstrate the advantages of TSF-TC．
25681 自适应滤波器在系统辨识、回声消除、信道均衡等领域获得了广泛应用。 Adaptive filters have been widely used in system identification， echo cancellation and channel equalization．
25682 符号子带自适应滤波器(SignSubband Adaptive Filter，SSAF)具有较强的抗脉冲干扰能力，但当输入信号受到噪声干扰时，其对未知系统系数向量的估计会产生偏差。 The sign subband adaptive filter (SSAF) is robust against impulsive noise. However, when the input is corrupted by noise, using the SSAF to estimate the coefficients of the unknown system will result in estimation bias．
25683 为了解决上述问题，本文基于无偏估计准则，提出了一种偏差补偿符号子带自适应滤波器(Bias-Compensated Sign Subband Adaptive Filter，BC-SSAF)。 To address this problem, this paper proposes a bias-compensated SSAF (BC-SSAF) based on an unbiased-estimation criterion．
25684 为了解决定步长自适应滤波器需要在收敛速度和稳态失调之间进行折中的问题，本文采用随机梯度法来更新正则化参数，提出了变正则化参数偏差补偿符号子带自适应滤波器(Variable Ｒegularization Bias-Compensated Sign Subband Adaptive Filter，VＲ-BC-SSAF)。 To overcome the problem of tradeoff between convergence rate and steady-state misalignment existing in fixed step-size adaptive filters, this paper uses the method of stochastic gradient to update regularization parameter and thus presents a variable regularization BC-SSAF (VＲ-BC-SSAF)．