Forecasting Respiratory Motion With Accurate Online Support Vector Regression Svrpred

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Forecasting respiratory motion with accurate online ...

    https://www.researchgate.net/publication/40768999_Forecasting_respiratory_motion_with_accurate_online_support_vector_regression_SVRpred
    Several studies have shown that support vector regression (SVR) can precisely predict respiratory motion and is capable of competing with state-of-the-art motion prediction algorithms. In general,...

Forecasting respiratory motion with accurate online ...

    https://link.springer.com/article/10.1007/s11548-009-0355-5
    Jun 04, 2009 · Materials and methods. SVRpred, a new prediction method based on support vector regression (SVR), has been developed and tested. Computer-generated data mimicking human respiratory motion with a prediction horizon of 150 ms was used for lab tests.Cited by: 58

Forecasting pulsatory motion for non ... - SpringerLink

    https://link.springer.com/article/10.1007/s11548-010-0424-9
    Apr 30, 2010 · Ernst F, Schweikard A (2009) Forecasting respiratory motion with accurate online support vector regression (SVRpred). Int J Comput Assist Radiol Surg 4(5): 439–447. doi: 10.1007/s11548-009-0355-5 CrossRef PubMed Google ScholarCited by: 3

Markerless EPID image guided ... - PubMed Central (PMC)

    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182919/
    Jun 21, 2013 · Thoracic and abdominal tumors often exhibit large respiratory motion ranges ... Ernst F, Schweikard A. Forecasting respiratory motion with accurate online support vector regression (svrpred) Int J Comput Assist Radiol Surg. 2009; 4 (5):439–447.Cited by: 31

Application of online SVR in very short-term load forecasting

    https://www.researchgate.net/publication/288801548_Application_of_online_SVR_in_very_short-term_load_forecasting
    Very short-term load forecasting (VSTLF) plays a very important role in an efficient planning and operation of power systems. In order to overcome the disadvantages of inefficiency in online ...

Forecasting pulsatory motion for non-invasive cardiac ...

    https://link.springer.com/10.1007/s11548-010-0424-9
    Apr 30, 2010 · We examine the applicability of prediction algorithms developed for respiratory motion prediction to the prediction of pulsatory motion. We evaluated the MULIN, nLMS, wLMS, SVRpred and EKF algorithms. The test data used has been recorded using external infrared position sensors, 3D ultrasound and the NavX catheter systems.Cited by: 3

Prediction of respiratory motion using wavelet based ...

    https://www.researchgate.net/publication/261418626_Prediction_of_respiratory_motion_using_wavelet_based_support_vector_regression
    This study compares the performance of respiratory motion prediction based on linear regression (LR), neural networks (NN), kernel density estimation (KDE) and support vector regression (SVR) for ...

Forecasting pulsatory motion for non-invasive cardiac ...

    https://www.researchgate.net/publication/43355864_Forecasting_pulsatory_motion_for_non-invasive_cardiac_radiosurgery_An_analysis_of_algorithms_from_respiratory_motion_prediction
    SVRpred, a new prediction method based on support vector regression (SVR), has been developed and tested. Computer-generated data mimicking human respiratory motion with a …

Comparing model-free motion prediction and on-line model ...

    http://ceur-ws.org/Vol-1337/paper4.pdf
    Comparing model-free motion prediction and on-line model checking for respiratory motion management ... Forecasting respiratory motion with accurate online support vector regression (SVRpred).Int J Comput Assist Radiol Surg, 4(5):439{447, 2009.

(PDF) Accurate On-line Support Vector Regression

    https://www.researchgate.net/publication/231588821_Accurate_On-line_Support_Vector_Regression
    Following an incremental support vector classification algorithm introduced by Cauwenberghs and Poggio (2001), we have developed an accurate on-line support vector regression (AOSVR) that ...



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