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ORCIDNeurocomputing, Volume 305
Volume 305, August 2018
- Shenghao Tang, Changqing Shen
, Dong Wang, Shuang Li, Weiguo Huang, Zhongkui Zhu:
Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis. 1-14 - Jiangtao Ren, Kang Li, Chaotao Chen:
Supervised Dirichlet Process Mixtures of Principal Component Analysis. 15-26 - Zhen Liu, Yuhua Cheng, Pan Wang, Yilu Yu, Yiwen Long:
A method for remaining useful life prediction of crystal oscillators using the Bayesian approach and extreme learning machine under uncertainty. 27-38 - Hanli Zhao, Heyang Guo, Xiaogang Jin, Jianbing Shen, Xiaoyang Mao, Junru Liu:
Parallel and efficient approximate nearest patch matching for image editing applications. 39-50 - Xiaoyong Pan, Hong-Bin Shen:
Learning distributed representations of RNA sequences and its application for predicting RNA-protein binding sites with a convolutional neural network. 51-58 - Sebastián Maldonado, Julio López:
Ellipsoidal support vector regression based on second-order cone programming. 59-69 - Xuefei Wu, Jianwen Feng, Zhe Nie:
Pinning complex-valued complex network via aperiodically intermittent control. 70-77 - R. Prashanth, Sumantra Dutta Roy:
Novel and improved stage estimation in Parkinson's disease using clinical scales and machine learning. 78-103 - Zhiwang Zhang, Guangxia Gao, Jun Yue, Yong Shi:
Sparse feature kernel multi-criteria linear programming classifier. 104-115
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