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Sparse estimation via lower-order penalty optimization methods in high-dimensional linear regression 期刊论文
JOURNAL OF GLOBAL OPTIMIZATION, 2022, 页码: 35
作者:  Li, Xin;  Hu, Yaohua;  Li, Chong;  Yang, Xiaoqi;  Jiang, Tianzi
收藏  |  浏览/下载：218/0  |  提交时间：2022/11/14
Sparse optimization  Lower-order penalty methods  Restricted eigenvalue condition  Recovery bound  
Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1107-1118
作者:  Tao, Wei;  Wu, Gao-Wei;  Tao, Qing
收藏  |  浏览/下载：211/0  |  提交时间：2022/06/10
Heavy-ball (HB) methods  individual convergence  machine learning  momentum methods  nonsmooth optimization  sparsity  
Mixture Correntropy-Based Kernel Extreme Learning Machines 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 811-825
作者:  Zheng, Yunfei;  Chen, Badong;  Wang, Shiyuan;  Wang, Weiqun;  Qin, Wei
收藏  |  浏览/下载：169/0  |  提交时间：2022/03/17
Kernel  Optimization  Learning systems  Robustness  Support vector machines  Mean square error methods  Extreme learning machine (ELM)  kernel method  mixture correntropy  online learning  
One-Step Multiview Subspace Segmentation via Joint Skinny Tensor Learning and Latent Clustering 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 15
作者:  Tang, Yongqiang;  Xie, Yuan;  Zhang, Changqing;  Zhang, Zhizhong;  Zhang, Wensheng
收藏  |  浏览/下载：218/0  |  提交时间：2022/01/27
Tensors  Optimization  Clustering methods  Computational modeling  Clustering algorithms  Semantics  Matrix decomposition  Multiview clustering  multiview representations  subspace clustering  tensor singular value decomposition (t-SVD)  
Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 52, 期号: 11, 页码: 11397-11406
作者:  Ye, Peijun;  Chen, Yuanyuan;  Zhu, Fenghua;  Lv, Yisheng;  Lu, Wanze;  Wang, Fei-Yue
收藏  |  浏览/下载：277/0  |  提交时间：2022/01/27
Calibration  Computational modeling  Mathematical model  Machine learning  Aggregates  Optimization  Bayes methods  Agent-based model (ABM)  calibration  Markovian process  
Broad Learning System Based on Maximum Correntropy Criterion 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3083-3097
作者:  Zheng, Yunfei;  Chen, Badong;  Wang, Shiyuan;  Wang, Weiqun
收藏  |  浏览/下载：222/0  |  提交时间：2021/08/15
Learning systems  Robustness  Standards  Optimization  Training  Perturbation methods  Mean square error methods  Broad learning system (BLS)  incremental learning algorithms  maximum correntropy criterion (MCC)  regression and classification  
Disassembly Sequence Planning: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1308-1324
作者:  Xiwang Guo;  MengChu Zhou;  Abdullah Abusorrah;  Fahad Alsokhiry;  Khaled Sedraoui
Adobe PDF(4140Kb)  |  收藏  |  浏览/下载：200/38  |  提交时间：2021/06/11
Artificial intelligence (AI)  disassembly sequence planning (DSP)  intelligent optimization  modeling methods  multi-objective optimization  single-objective optimization  uncertainty  
Bayesian Automatic Model Compression 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 4, 页码: 727-736
作者:  Wang, Jiaxing;  Bai, Haoli;  Wu, Jiaxiang;  Cheng, Jian
Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：323/63  |  提交时间：2020/12/04
Quantization  automatic machine learning  model compression  Bayes methods  Mathematical model  Training  Mixture models  Optimization  Machine learning  Bayesian learning  quantizartion  explainability  
Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 835-845
作者:  Tao, Wei;  Pan, Zhisong;  Wu, Gaowei;  Tao, Qing
收藏  |  浏览/下载：222/0  |  提交时间：2020/03/30
Convergence  Convex functions  Machine learning  Optimization methods  Linear programming  Cybernetics  Individual convergence  machine learning  mirror descent (MD) methods  regularized learning problems  stochastic gradient descent (SGD)  stochastic optimization  
3D Model Based Vehicle Localization by Optimizing Local Gradient Based Fitness Evaluation 会议论文
 Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, Tampa, Florida, USA, 8-11 December 2009
作者:  Zhaoxiang Zhang;  Min Li;  Kaiqi Huang;  Tieniu Tan
收藏  |  浏览/下载：136/0  |  提交时间：2016/12/30
Vehicles  Optimization Methods  Data Mining  Noise Robustness  Pixel  Laboratories  Pattern Recognition  Automation  Traffic Control  Layout