正则化(regularization),是指在线性代数理论中,不适定问题通常是由一组线性代数方程定义的,而且这组方程组通常来源于有着很大的条件数的不适定反问题。大条件数意味着舍入误差或其它误差会严重地影响问题的结果。
Chapter 4 introduces the regularization method theory. Its algorithm description is also given.
第4章,详细介绍了反问题的正则化算法,并给出算法模型。
参考来源 - 基于机群计算的热物性反问题高效分布式并行算法设计Chinese text normalization is the process of transforming non-Chinese character strings into their corresponding Chinese character strings to determine their pronunciations.
中文文本正则化是把非汉字字符串转化为汉字串以确定其读音的过程。
参考来源 - 中文语音合成中的文本正则化研究 in CThis paper proposes a new parameterless support vector machine classifier based on quadratic programming,which avoids some shortcomings such as the need for choosing regularized parameter in standard SVM. Its formulation is simple and easy to be realized.
提出了一种新的基于二次规划的无参数支持向量机分类模型,克服了标准支持向量机需要选择正则化参数的缺点,而且该模型简单,易于实现。
参考来源 - 一种新的无参数支持向量机分类器 in CMoreover,a convenient method for selecting the regularization parameter is presented by pursuiting the intersection point of fitting error curve and sparsity measure curve.
进一步,通过寻找拟合误差曲线和稀疏性度量函数曲线的交点实现了正则化参数的方便选择。
参考来源 - 基于稀疏贝叶斯学习的雷达目标成像技术·2,447,543篇论文数据,部分数据来源于NoteExpress
贝叶斯正则化方法提高BP神经网络的泛化能力。
Bayes' regularization raises the ability to extend of BP neural network.
恢复的方法有正则化方法、迭代方法、统计方法等。
The usual methods include regularization method, iterative method, stochastic method and so on.
与改进的正则化稳定因子相结合,提出新的快速正则化反演方法。
Combined with a stable regularizing filter, a new fast regularizing inversion is put forward further.
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