Predicting Time Series With Support Vector Machines

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Predicting time series with support vector machines ...

    https://link.springer.com/chapter/10.1007%2FBFb0020283
    Jun 09, 2005 · Abstract. Support Vector Machines are used for time series prediction and compared to radial basis function networks. We make use of two different cost functions for Support Vectors: training with (i) an e insensitive loss and (ii) Huber's robust loss function and discuss how to choose the regularization parameters in these models.Cited by: 1120

Predicting Time Series with Support Vector Machines ...

    https://www.researchgate.net/publication/225118046_Predicting_Time_Series_with_Support_Vector_Machines
    Support Vector Machines are used for time series prediction and compared to radial basis function networks. We make use of two different cost functions for Support Vectors: training with (i) an e ...

Predicting Time Series with Support Vector Machines (1997)

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.8660
    Abstract. Support Vector Machines are used for time series prediction and compared to radial basis function networks. We make use of two different cost functions for Support Vectors: training with (i) an ffl insensitive loss and (ii) Huber's robust loss function and discuss how to choose the regularization parameters in these models.

Predicting time series with support vector machines ...

    https://koreauniv.pure.elsevier.com/en/publications/predicting-time-series-with-support-vector-machines
    Support Vector Machines are used for time series prediction and compared to radial basis function networks. We make use of two different cost functions for Support Vectors: training with (i) an ε insensitive loss and (ii) Huber's robust loss function and discuss how to choose the regularization parameters in these models.Cited by: 1120

Using support vector machines for time series prediction ...

    https://www.sciencedirect.com/science/article/pii/S0169743903001114
    Nov 28, 2003 · The goal of this paper is to use a support vector machine (SVM) for the task of time series prediction. SVM is a relatively new nonlinear technique in the field of chemometrics and it has been shown to perform well for classification tasks , regression and time series prediction .Cited by: 427

predicting time series with support vector machine using R ...

    https://stats.stackexchange.com/questions/116297/predicting-time-series-with-support-vector-machine-using-r
    I am planning to do time series prediction using support vector Machine. I could not find any materials about time series application of support vector machines using R or Mat-lab. Similar question was asked earlier but no answer.It would be great if anybody …



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