A Tutorial on Support Vector Regression#8727;英文电子资料.pdf,A Tutorial on Support Vector Regression∗ Alex J. Smola† and Bernhard Sch¨olkopf‡ September 30, 2003 Abstract As such, it is firmly grounded in the framework of statistical learning
Using time-resolved pattern recognition techniques (support vector regression) we find that (1) the combined value is encoded in distributed fMRI patterns ... T Kahnt,J Heinzle,S.Q. Park,... - 《Neuroimage》 被引量: 193发表: 2010年 Rolling element bearing fault diagnosis using wavelet tran...
P. H. Chen, C. J. Lin and B. Scholkopf, "A Tutorial on ν- Support Vector Machines," Applied Stochastic Models in Business and Industry, Vol. 21, No. 2, 2005, pp. 111- 136.Chen, P.-H., C.-J. Lin, and B. Sch¨olkopf, "A tutorial on ν-support vector machines," ...
The tutorial dwells entirely on the pattern recognition problem. Many of the ideas there carry directly over to the cases of regression estimation and linear operator inversion, but space constraints precluded the exploration of these topics here. The tutorial contains some new material. All of the...
We place particular emphasis on a description of the so-called ν-SVM, including details of the algorithm and its implementation, theoretical results, and practical applications. Copyright 2005 John Wiley & Sons, Ltd.关键词: ν‐support vector machines support vector regression support vector ...
Support vector regression (SVR) is used to solve the problem of support vector machine regression. 翻译结果2复制译文编辑译文朗读译文返回顶部 Support vector regression (SVR) is a support vector machine for solving regression problems. 翻译结果3复制译文编辑译文朗读译文返回顶部 ...
Recently, novel learning algorithms such as Support Vector Regression (SVR) and Neural Networks (NN) have received increasing attention in forecasting and time series prediction, offering attractive theoretical properties and successful applications in several real world problem domains. Commonly, time serie...
Nu-support vector regressionresource monitoringresource predictionmodel optimizationgrid serviceIn order to realize intelligent scheduling of incoming tasks and provi... 胡亮,车喜龙 - 《自动化学报》 被引量: 14发表: 2010年 Grid Resource Prediction Based on Support Vector Regression and Genetic Algorithms...
We develop an intuitive geometric framework for support vector regression (SVR). By examining when ε-tubes exist, we show that SVR can be regarded as a classification problem in the dual space. Hard and soft ε-tubes are constructed by separating the convex or reduced convex hulls, respectivel...
Support vector regression with parameter tuning assisted by differential evolution technique: Study on pressure drop of slurry flow in pipeline The Support Vector Regression with the parameter tuning assisted by a differential evolution technique: study of the critical velocity of a slurry flow in ......