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- support vector regression machine 支持向量回归机
- least square support vector regression machine 最小二乘回归支持向量机
- least-square support vector regression machine 最小二乘支持向量回归机
- Least squares support vector regression machine 最小二乘支持向量回归机
- Support Vector Regress Machine 回归支持向量机
- support vector regression machines 支持向量回归机
- An improved method of support vector machine and its applications to financial time series forecasting Estimate of error bounds in the improved support vector regression. 大型工程对工程机械的正常安全运行提出了更高的要求,因此,现代大型工程机械普遍采用了电子监控与故障自诊断系统。
- Support vector regression (SVR), a powerful machine learning technology based on statistical learning theory (SLT) was applied to QSAR on the aldose reductase inhibitory activity of 48 flavones. 用支持向量机回归(SVR)方法研究了48个黄酮类化合物醛糖还原酶抑制活性的定量构效关系。
- A brief introduction on the basic principle of support vector machine (SVM) is given herein, and then a safety monitoring model for earth-rockfill dam is put forward based on support vector regression (SVR). 摘要简要介绍了支持向量机的基本原理,在对建模因子进行分析的基础上,提出了基于支持向量回归(SVR)算法的土石坝安全监测预报模型。
- Thus, we provide a theoretical foundation for establishing complete linear support vector ordinal regression machines. 从而为建立理论上完备的线性支持向量顺序回归机提供了依据。
- In this paper,the authors present a method combined rough set(RS) with least square support vector regression(LS-SVR). 该文提出结合粗糙集(RS)和最小二乘支持向量回归(LS-SVR)的方法。
- A modeling method for nonlinear dynamic system based on Support Vector Regression (SVR) was proposed in this paper. 提出一种基于支持向量回归机(SVR)的非线性动态系统建模方法。
- A new algorithm to solve classification problems is obtained based on the support vector regression (SVR). 摘要本文提出了基于支持向量回归机(SVR)的一种新分类算法。
- Then, the implementation algorithms of MADM using support vector regression and classification are presented. 再次提出了基于支持向量回归和分类的多属性决策支持向量机实现算法;
- The method of the conical thread image detection based on the support vector regression is presented. 以支持向量回归为主要算法,讨论了圆锥螺纹各参数的图像检测方法。
- Adaptive and Iterative Least Squares Support Vector Regression Based on Quadratic Renyi Entropy. Jingqing Jiang(姜静清) ; Chuyi Song ; Haiyan Zhao ; Chunguo Wu and Yanchun Liang.
- These methods are linear prediction using autoregression,and nonlinear prediction using support vector regression. 这两种方法分别为线性的自回归预测以及非线性的支持向量机预测。
- Support Vector Regression (SVR) algorithm has been introduced to construct a content-based recommend approach. 支持向量机是一种强大的分类工具,由其衍生出的支持向量机回归方法能很好地解决非线性回归问题。
- An digital image watermarking algorithm based on support vector regression (SVR) is proposed in this paper. 摘要提出一种支持向量回归机SVR的数字图像水印算法。
- The distribution of support vector is analyzed.An epsilon-adjustable support vector regression is proposed. 摘要 标准支持向量回归问题中,噪声较大的时段将包含较多的支持向量。