LWR:局部加权回归
局部加权回归(Locally Weighted Regression)在学术文献和数学相关领域中常被简称为LWR,这一缩写方式便于日常书写及高效交流。作为一种重要的非参数回归方法,局部加权回归通过对邻近样本点赋予不同权重,实现对数据的灵活拟合。该方法在统计学和机器学习中有广泛应用,为处理非线性关系提供了有效工具。
Locally Weighted Regression具体释义
Locally Weighted Regression的英文发音
例句
- In order to deal with software aging, a method based on robust locally weighted regression algorithm was presented to abstract aging trend from system resource usage.
- 针对软件老化引起系统资源损耗、系统性能恶化以及软件失效的现象,提出利用强局部加权回归(LWR)算法进行软件老化趋势的提取方法。
- The theory of local partial least square ( LPLS ) algorithm was described based on locally weighted regression algorithm ( LWR ).
- 报道了在局部加权(LWR)回归方法基础上,自主改进的更简单、实用的局部偏最小二乘回归(LPLS)的原理和方法。
- A new weight function used by locally weighted regression technique for estimation of background clutter in image sequnces with moving point targets is presented in this paper.
- 在含有点状运动目标的红外图像序列情况下,研究了一种基于局部加权回归(LWR)分析的杂波估计技术,给出了此类估计器性能分析及其加权系数选择要求,并设计了一种加权函数。
- Aiming at solving the dynamic incertitude of the robot soccer game, a learning method based on Locally Weighted Regression(LWR) is proposed to forecast the motion of the ball, especially after the ball bump into wall.
- 针对足球机器人比赛中动态不确定性特点,提出了一种基于LWR学习方法预测球的运动轨迹,尤其是球与外界碰撞后的运动轨迹。
- Abstraction of Software Aging Trend Based on Robust Locally Weighted Regression(LWR) Algorithm
- 基于强局部加权回归(LWR)算法的软件老化趋势提取
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