Support vector regressionOnline processingSmart grid, an integral part of a smart city, provides new opportunities for efficient energy management, possibly leading to big cost savings and a great contribution to the environment. Grid innovations and liberalization of the electricity market have ...
Sparse Online Greedy Support Vector Regression Yaakov Engel1, Shie Mannor2, and Ron Meir2 1 Center for Neural Computation, Hebrew University Jerusalem 91904, Israel yaki@alice.nc.huji.ac.il 2 Dept. of Electrical Engineering, Technion Institute of Technology Haifa 32000, Israel {shie@tx,rmeir@...
Engel, Y., Mannor, S., Meir, R. (2002). Sparse Online Greedy Support Vector Regression. In: Elomaa, T., Mannila, H., Toivonen, H. (eds) Machine Learning: ECML 2002. ECML 2002. Lecture Notes in Computer Science(), vol 2430. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3...
向量机回归(1eastsquaressupportvectorregression,LSSVR)建模易受离群点的影响.针对这一问题,结合鲁棒学习算 法(robustlearningalgorithm,PLEA),本文提出了一种在线鲁棒最小二乘支持向量机回归建模方法.该方法首先利 用LSSVR模型对过程输出进行预测,与真实输出相比较得到预测误差;然后利用RLA方法训练LSSVR模型的权值, ...
An adaptive online learning approach for Support Vector Regression: Online-SVR-FID 2016, Mechanical Systems and Signal Processing Citation Excerpt : However, the method proposed in [23] is based on MEB whereas Online-SVR-FID is based on FVS. Another main difference between these two methods is ...
2.3. Support Vector Regression Model Support vector classification (SVC) and support vector regression (SVR) are the two main categories for SVM. We established the SVR model for prediction, since we tend to get the growth rate of CHO with 7 medium supplements and to recognize the most importa...
In modeling, only information from the deviation between the output of the support vector regression (SVR) model and the training sample is considered, whereas the other prior information of the training sample, such as probability distribution information, is ignored. Probabilistic distribution informati...
(OnlineSupportVectorRegression,OnlineSVR)的时间序列预测方法凭借 其良好的统计理论基础和应用效果,已经成为时间序列分析技术研究领域的 主要发展方向,并逐步在各个应用领域得到推广。 OnlineSVR算法作为一种在线回归建模方法,能够实现模型在线动态 更新,但是,其算法计算复杂度较高,还难以充分满足现实应用中各类在线 ...
DomSVR [35] uses a support vector regression to predict domain boundaries. Protein sequences are encoded by the physicochemical and biological properties, which are derived from the AAindex database [36]. Then, a principal component analysis (PCA) is used to choose the most important indices to...
2.1.2. Support Vector Machine Regression Prediction Model The objective function of the regression problem is different from the SVM classification in that the SVM regression has only one class of sample points, and the optimal hyperplane is sought not to separate the two classes of samples the ...