Dynamic Support Vector Machines For Non Stationary Time Series Forecasting

Searching for Dynamic Support Vector Machines For Non Stationary Time Series Forecasting information? Find all needed info by using official links provided below.


Dynamic support vector machines for non-stationary time ...

    https://dl.acm.org/citation.cfm?id=1293997
    This paper proposes a modified version of support vector machines (SVMs), called dynamic support vector machines (DSVMs), to model non-stationary time series. The DSVMs are obtained by incorporating the problem domain knowledge -- non-stationarity of time series into SVMs.Cited by: 90

Dynamic support vector machines for non-stationary time ...

    https://www.researchgate.net/publication/220571317_Dynamic_support_vector_machines_for_non-stationary_time_series_forecasting
    Download Citation Dynamic support vector machines for non-stationary time series forecasting This paper proposes a modified version of support vector machines (SVMs), called dynamic support ...

Dynamic support vector machines for non-stationary time ...

    https://content.iospress.com/articles/intelligent-data-analysis/ida00079
    Jul 25, 2001 · This paper proposes a modified version of support vector machines (SVMs), called dynamic support vector machines (DSVMs), to model non-stationary time series. The DSVMs are obtained by incorporating the problem domain knowledge -- non-stationarity ofCited by: 90

Support Vector Regression for Non-Stationary Time Series

    http://trace.tennessee.edu/cgi/viewcontent.cgi?article=3107&context=utk_gradthes
    financial time series forecasting is often tagged as the most challenging application of time series forecasting. In this study, a novel approach known as Support Vector Regression (SVR) for forecasting non-stationary time series was adopted and the feasibility of applying this method to five financial time series was examined.

Dynamic support vector machines for non-stationary time ...

    https://www.deepdyve.com/lp/ios-press/dynamic-support-vector-machines-for-non-stationary-time-series-a1OyGpED80
    Jan 01, 2002 · Read "Dynamic support vector machines for non-stationary time series forecasting, Intelligent Data Analysis" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.

System reliability forecasting by support vector machines ...

    https://www.sciencedirect.com/science/article/pii/S0895717705004760
    Cao and Gu proposed a dynamic SVM model (DSVM) to solve non-stationary time series problems. Their experimental results demonstrated that DSVMs outperform standard SVMs in forecasting non-stationary time series. Tay and Cao presented a C-ascending SVM to model non-stationary financial time series. Their experimental results indicated that C ...Cited by: 139

??-Descending Support Vector Machines for Financial Time ...

    https://www.researchgate.net/publication/225454618_-Descending_Support_Vector_Machines_for_Financial_Time_Series_Forecasting
    This paper proposes a modified version of support vector machines (SVMs), called ε-descending support vector machines (ε-DSVMs), to model non-stationary financial time series.

Using Support Vector Machines in Financial Time Series ...

    http://www.sapub.org/global/showpaperpdf.aspx?doi=10.5923/j.statistics.20140401.03
    Using Support Vector Machines in Financial Time Series Forecasting Mahmoud K. Okasha Department of Applied Statistics, Al-Azhar University – Gaza, Palestine Abstract Forecasting financial time series, such as stock price indices, is a complex process. This is because financial time series are usually quite noisy and involve ambiguous seasonal ...Cited by: 6

Time Series Forecasting using Support Vector Machine (SVM ...

    https://stackoverflow.com/questions/49081801/time-series-forecasting-using-support-vector-machine-svm-in-r
    That's it. However, support vector machine is not commonly regarded as the best method for time series forecasting, especially for long series of data. It can perform good for few observations ahead, but I wouldn't expect good results for forecasting eg. daily data …

Financial time series forecasting using support vector ...

    https://www.sciencedirect.com/science/article/pii/S0925231203003722
    For the non-separable case, ... F. Girosi, Nonlinear prediction of chaotic time series using support vector machines, in: Proceedings of the IEEE Workshop on Neural Networks for Signal Processing, Amelia Island, FL, 1997, pp. 511–520. ... L. CaoApplication of support vector machines in financial time series forecasting. Omega, 29 (2001), pp ...Cited by: 1474



How to find Dynamic Support Vector Machines For Non Stationary Time Series Forecasting information?

Follow the instuctions below:

  • Choose an official link provided above.
  • Click on it.
  • Find company email address & contact them via email
  • Find company phone & make a call.
  • Find company address & visit their office.

Related Companies Support