Musicant. Robust linear and support vector regression. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(9):950-955, 2000.O.L. Mangasarian and D. R. Musicant. Robust Linear and Support Vector Regression. IEEE Trans- actions on Pattern Analysis and Machine Intelligence. Vol. 22...
Robust Linear and Support Vector Regression. Focuses on a study which described the modeling of robust Huber M-estimator by an easily solvable simple convex quadratic program for both linear and nonli... Mangasarian,Olvi,L.,... - 《IEEE Transactions on Pattern Analysis & Machine Intelligence》...
Support vector regressionRobusnessOutiliersTraining noisy dataNoisy data and outliers has always been one of the main challenges in regression applications. The presence of these data among training data will produce several negative effects on the generalization ability of the built model in regression...
Yang, J. Liang, and Q. Ye, "Recursive robust least squares support vector regression based on maximum cor- rentropy criterion," Neurocomputing, vol. 97, pp. 63-73, 2012.Chen X, Yang J, Liang J, Ye Q (2012) Recursive robust least squares support vector regression based on maximum ...
Technical errors: varying degree of analytical-chemical measurement errors and missing data have to be accounted for. Especially, the potential presence of multiple linear relationships and independence of both variables poses problems for simple regression analyses. As a substitute for regression, the de...
Ordinal regression is a specialized supervised problem where the labels show an inherent order. The order distinguishes it from normal multi-class problem. Support Vector Ordinal Regression, as an outstanding ordinal regression model, is widely used in many ordinal regression tasks. However, like most...
关键词:鲁棒学习算法;最小二乘支持向量机;鲁棒性;非线性中图分类号:TP273文献标识码:AModelingmethodofonlinerobustleast-squares-support-vectorregressionZHANGShu—ningI,ⅥNGFu—Ii1,-,HEDa—kuoI,2,JIARun—daa(1.SchoolofInformafionScience&Engineering,NortheasternUniversity,ShenyangLiaoning110004,China;2.StateKey...
We introduce the following linear regression model to model the relationship between the response and covariates. For each and , let (1)where is a vector of regression coefficients and is the random error term. Here we assume that there is no intercept in model (1); this can be easily ...
The first robust ordinal regression method has been the generalization of the UTA method, called UTAGMS [6]. In UTAGMS, instead of only one compatible additive value function composed of piecewise-linear marginal functions, all compatible additive value functions composed of general monotonic marginal...
Robust method based on optimized support vector regression for modeling of asphaltene precipitation 来自 Semantic Scholar 喜欢 0 阅读量: 28 作者:HR Ansari,A Gholami 摘要: •In this study, asphaltene precipitationswere predictedfrom titration data.•Optimized SVR was employed for this prediction....