您要查找的是不是：
- relevance vector regression 关联向量回归
- A new regression algorithm of an adaptive reduced relevance vector machine is proposed to estimate the illumination chromaticity of an image for the purpose of color constancy. 摘要提出了一种新的自适应约简相关向量机回归算法来估计图像的光照色度以达到色彩一致性目的。
- Finally, Multi-Variate Relevance Vector Machine (MVRVM) is exploited to learn a single mapping and ensure the sparsity of regression model. 引入了多变量相关向量机，学习单个映射函数，保持回归模型的稀疏性。
- Relevance vector machine for regression 相关向量机回归
- A new bearing fault detection approach based on relevance vector machine (RVM) is presented. 摘要针对轴承故障检测问题，提出一种基于相关向量机(RVM)的故障检测方法。
- 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。
- Combining sparse Bayesian learning with the principle of the support vector tracking(SVT), the relevance vector tracking (RVT) is presented. 结合稀疏贝叶斯学习方法和支持向量跟踪(SVT)原理,提出了相关向量跟踪(RVT)。
- 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 Relevance vector machine (RVM) is a state-of-the-art machine learning algorithm in which the training procedure is in the framework of Bayesian. 摘要将小波分析与相关向量机结合，提出了一种新的机器学习方法-小波相关向量机。
- 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。
- In this paper, the authors present a method combined rough set (RS) with least square support vector regression (LS-SVR). 摘要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。
- The Support Vector Regression(SVR) is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems. 摘要 用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
- SMOLA A J,SCHOLKOPF B.A tutorial on support vector regression[R].NeuroCOLT Tech.Rep.TR 1998-030,Royal Holloway College,London,U.K,1998. 赵登福王蒙.;基于支撑向量机方法的短期负荷预测[J]
