Patient Adaptive Pattern Matching Method for Premature Ventricular Contraction(PVC) Classification
نویسندگان
چکیده
منابع مشابه
Adaptive Kernel Matching Pursuit for Pattern Classification
1 A sparse classifier is guaranteed to generalize better than a denser one, given they perform identical on the training set. However, methods like Support Vector Machine, even if they produce relatively sparse models, are known to scale linearly as the number of training examples increases. A recent proposed method, the Kernel Matching Pursuit, presents a number of advantages over the SVM, lik...
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ژورنال
عنوان ژورنال: The Journal of the Korean Institute of Information and Communication Engineering
سال: 2012
ISSN: 2234-4772
DOI: 10.6109/jkiice.2012.16.9.2021