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An overview on probability undirected graphs and their applications in image processing 期刊论文
NEUROCOMPUTING, 2018, 卷号: 321, 页码: 156-168
作者:  Zhang, Jian;  Ding, Shifei;  Zhang, Nan
收藏  |  浏览/下载:74/0  |  提交时间:2019/12/10
Restricted Boltzmann machine  Conditional random field  Classification  Deep neural nets  
Research of stacked denoising sparse autoencoder 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2018, 卷号: 30, 期号: 7, 页码: 2083-2100
作者:  Meng, Lingheng;  Ding, Shifei;  Zhang, Nan;  Zhang, Jian
收藏  |  浏览/下载:64/0  |  提交时间:2019/12/10
Autoencoder  Stacked autoencoders  Feature extraction  Unsupervised learning  Sparse coding  Deep learning  
Research and development of neural network ensembles: a survey 期刊论文
ARTIFICIAL INTELLIGENCE REVIEW, 2018, 卷号: 49, 期号: 4, 页码: 455-479
作者:  Li, Hui;  Wang, Xuesong;  Ding, Shifei
收藏  |  浏览/下载:42/0  |  提交时间:2019/12/10
Artificial neural networks (ANNs)  Granular computing (GrC)  Neural network ensemble (NNE)  
Self-adaptive kernel K-means algorithm based on the shuffled frog leaping algorithm 期刊论文
SOFT COMPUTING, 2018, 卷号: 22, 期号: 3, 页码: 861-872
作者:  Fan, Shuyan;  Ding, Shifei;  Xue, Yu
收藏  |  浏览/下载:40/0  |  提交时间:2019/12/10
Kernel K-means  Shuffled frog leaping algorithm  Clustering validity index  Clustering analysis  
An overview on Restricted Boltzmann Machines 期刊论文
NEUROCOMPUTING, 2018, 卷号: 275, 页码: 1186-1199
作者:  Zhang, Nan;  Ding, Shifei;  Zhang, Jian;  Xue, Yu
收藏  |  浏览/下载:56/0  |  提交时间:2019/12/10
Restricted Boltzmann Machine  Classification  Representational learning  Deep networks