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Ensemble learning has been proved to improve the generalization ability effectively in both theory and practice. In this paper, we briefly outline the current status of research on it first. Then, a new deep neural network-based ensemble method that integrates filtering views, local views, distorted views, explicit training, implicit training, subview prediction, and Simple Average is proposed for biomedical time series classification. Finally, we validate its effectiveness on the Chinesedoi:10.1155/2016/6212684 pmid:27725828 pmcid:PMC5048093 fatcat:x73wl3jayva2bnccfpnglnz5n4