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The combination of self-organizing feature maps and support vector regression for solving the inverse ECG problem.

, , , , , and . Computers & Mathematics with Applications, 66 (10): 1981-1990 (2013)

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A Distributed Computing Platform for Task Stream Processing., , , and . ICICA (1), volume 391 of Communications in Computer and Information Science, page 110-119. Springer, (2013)Definition and Detection of Control-Flow Anti-patterns in Process Models., , , , and . COMPSAC Workshops, page 433-438. IEEE Computer Society, (2013)The combination of Self-Organizing Feature Maps and support vector regression for solving the inverse ECG problem., , , , and . ICNC, page 475-479. IEEE, (2012)The combination of self-organizing feature maps and support vector regression for solving the inverse ECG problem., , , , , and . Computers & Mathematics with Applications, 66 (10): 1981-1990 (2013)Study on Parameter Optimization for Support Vector Regression in Solving the Inverse ECG Problem., , , , , and . Comp. Math. Methods in Medicine, (2013)Feature point tracking based on RLS and MAP filter., , , and . FSKD, page 630-634. IEEE, (2010)A Hybrid Model of Maximum Margin Clustering Method and Support Vector Regression for Noninvasive Electrocardiographic Imaging., , , , , and . Comp. Math. Methods in Medicine, (2012)Target Image Mask Correction Based on Skeleton Divergence., , , , and . Algorithms, 12 (12): 251 (2019)