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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,...
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
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
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
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 ...
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
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 ...
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 …
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.
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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