- Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang, Xingwang Zhao, Yinfeng Meng, Kai Feng, Yuhua Qian:
An Algorithm for Clustering Categorical Data With Set-Valued Features. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4593-4606 (2018) - Xibin Cao, Peng Shi, Zhuoshi Li, Ming Liu:
Neural-Network-Based Adaptive Backstepping Control With Application to Spacecraft Attitude Regulation. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4303-4313 (2018) - Zhengcai Cao, Qing Xiao, Ran Huang, Mengchu Zhou:
Robust Neuro-Optimal Control of Underactuated Snake Robots With Experience Replay. IEEE Trans. Neural Networks Learn. Syst. 29(1): 208-217 (2018) - Murillo Guimarães Carneiro, Liang Zhao:
Organizational Data Classification Based on the Importance Concept of Complex Networks. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3361-3373 (2018) - Cristiano Cervellera, Danilo Macciò:
Distribution-Preserving Stratified Sampling for Learning Problems. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2886-2895 (2018) - Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron J. Gruber:
Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2259-2270 (2018) - Daqing Chang, Ming Lin, Changshui Zhang:
On the Generalization Ability of Online Gradient Descent Algorithm Under the Quadratic Growth Condition. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5008-5019 (2018) - Oindrila Chatterjee, Shantanu Chakrabartty:
Decentralized Global Optimization Based on a Growth Transform Dynamical System Model. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6052-6061 (2018) - Zhongming Chen, Kim Batselier, Johan A. K. Suykens, Ngai Wong:
Parallelized Tensor Train Learning of Polynomial Classifiers. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4621-4632 (2018) - Bo-Hao Chen, Shih-Chia Huang, Chian-Ying Li, Sy-Yen Kuo:
Haze Removal Using Radial Basis Function Networks for Visibility Restoration Applications. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3828-3838 (2018) - Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Lin Lin, Yandong Tang:
A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5380-5393 (2018) - Huanhuan Chen, Bingbing Jiang, Xin Yao:
Semisupervised Negative Correlation Learning. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5366-5379 (2018) - C. L. Philip Chen, Zhulin Liu:
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture. IEEE Trans. Neural Networks Learn. Syst. 29(1): 10-24 (2018) - Cheng-Hung Chen, Chong-Bin Liu:
Reinforcement Learning-Based Differential Evolution With Cooperative Coevolution for a Compensatory Neuro-Fuzzy Controller. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4719-4729 (2018) - Hongwei Chen, Jinling Liang, Jianquan Lu, Jianlong Qiu:
Synchronization for the Realization-Dependent Probabilistic Boolean Networks. IEEE Trans. Neural Networks Learn. Syst. 29(4): 819-831 (2018) - Qiuwen Chen, Ryan S. Luley, Qing Wu, Morgan Bishop, Richard W. Linderman, Qinru Qiu:
AnRAD: A Neuromorphic Anomaly Detection Framework for Massive Concurrent Data Streams. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1622-1636 (2018) - Dongdong Chen, Jiancheng Lv, Zhang Yi:
Graph Regularized Restricted Boltzmann Machine. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2651-2659 (2018) - Gang Chen, Yongduan Song, Yanfeng Guan:
Terminal Sliding Mode-Based Consensus Tracking Control for Networked Uncertain Mechanical Systems on Digraphs. IEEE Trans. Neural Networks Learn. Syst. 29(3): 749-756 (2018) - Xiaofeng Chen, Qiankun Song, Zhongshan Li, Zhenjiang Zhao, Yurong Liu:
Stability Analysis of Continuous-Time and Discrete-Time Quaternion-Valued Neural Networks With Linear Threshold Neurons. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2769-2781 (2018) - Xin Chen, Jian Weng, Wei Lu, Jiaming Xu, Jiasi Weng:
Deep Manifold Learning Combined With Convolutional Neural Networks for Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 29(9): 3938-3952 (2018) - Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, José C. Príncipe:
Insights Into the Robustness of Minimum Error Entropy Estimation. IEEE Trans. Neural Networks Learn. Syst. 29(3): 731-737 (2018) - Xiaojun Chen, Guowen Yuan, Wenting Wang, Feiping Nie, Xiaojun Chang, Joshua Zhexue Huang:
Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6362-6373 (2018) - Dechao Chen, Yunong Zhang:
Robust Zeroing Neural-Dynamics and Its Time-Varying Disturbances Suppression Model Applied to Mobile Robot Manipulators. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4385-4397 (2018) - Bing Chen, Huaguang Zhang, Xiaoping Liu, Chong Lin:
Neural Observer and Adaptive Neural Control Design for a Class of Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4261-4271 (2018) - Yuhu Cheng, Xue Qiao, Xuesong Wang, Qiang Yu:
Random Forest Classifier for Zero-Shot Learning Based on Relative Attribute. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1662-1674 (2018) - Jian Cheng, Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu:
Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4730-4743 (2018) - Ronghu Chi, Zhongsheng Hou, Shangtai Jin, Biao Huang:
Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5971-5980 (2018) - Jen-Tzung Chien, Yi-Ting Bao:
Tensor-Factorized Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1998-2011 (2018) - Dejun Chu, Rui Lu, Jin Li, Xintong Yu, Changshui Zhang, Qing Tao:
Optimizing Top-k Multiclass SVM via Semismooth Newton Algorithm. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6264-6275 (2018) - Renato J. Cintra, Stefan Duffner, Christophe Garcia, André Leite:
Low-Complexity Approximate Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5981-5992 (2018)