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Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm 期刊论文
RESOURCES POLICY, 2021, 卷号: 74, 页码: 10
Authors:  Du, Pei;  Guo, Ju'e;  Sun, Shaolong;  Wang, Shouyang;  Wu, Jing
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Metal prices forecasting  Data processing method  Optimized extreme learning machine  Hybrid forecasting model  
Stein variational gradient descent with local approximations 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 386, 页码: 20
Authors:  Yan, Liang;  Zhou, Tao
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Stein variational gradient decent  Bayesian inference  Deep learning  Local approximation  
Exploring Statistical Arbitrage Opportunities Using Machine Learning Strategy 期刊论文
COMPUTATIONAL ECONOMICS, 2021, 页码: 22
Authors:  Zhan, Baoqiang;  Zhang, Shu;  Du, Helen S.;  Yang, Xiaoguang
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Statistical arbitrage  Cointegration  Machine learning  Opportunities exploration  
Learning with smooth Hinge losses 期刊论文
NEUROCOMPUTING, 2021, 卷号: 463, 页码: 379-387
Authors:  Luo, JunRu;  Qiao, Hong;  Zhang, Bo
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Smooth Hinge loss  Convex surrogate loss  Support vector machine  Trust region Newton method  
A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
Authors:  Luo, Junru;  Qiao, Hong;  Zhang, Bo
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Measurement  Task analysis  Covariance matrices  Support vector machines  Prediction algorithms  Minimization  Kernel  Imbalanced classification  minimax probability machine  nondecomposable performance measures  
Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
Authors:  Lan, Hui;  Liu, Ziquan;  Hsiao, Janet H.;  Yu, Dan;  Chan, Antoni B.
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Hidden Markov models  Bayes methods  Data models  Computational modeling  Mixture models  Clustering algorithms  Analytical models  Clustering  hidden Markov mixture model (H3M)  hierarchical EM  variational Bayesian (VB)  
Stochastic greedy algorithms for maximizing constrained submodular plus supermodular functions 期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 页码: 9
Authors:  Ji, Sai;  Xu, Dachuan;  Li, Min;  Wang, Yishui;  Zhang, Dongmei
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approximation algorithm  constrained  stochastic greedy  submodular plus supermodular maximization  
DeepDigest: Prediction of Protein Proteolytic Digestion with Deep Learning 期刊论文
ANALYTICAL CHEMISTRY, 2021, 卷号: 93, 期号: 15, 页码: 6094-6103
Authors:  Yang, Jinghan;  Gao, Zhiqiang;  Ren, Xiuhan;  Sheng, Jie;  Xu, Ping;  Chang, Cheng;  Fu, Yan
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Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 4, 页码: 1184-1196
Authors:  Zhang, Chihao;  Zhang, Shihua
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Matrix decomposition  Bayes methods  Data integration  Inference algorithms  Data models  Data mining  Gaussian distribution  Bayesian methods  matrix decomposition  data integration  variational Bayesian inference  maximum a posterior  
Distribution-Free One-Pass Learning 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 3, 页码: 951-963
Authors:  Zhao, Peng;  Wang, Xinqiang;  Xie, Siyu;  Guo, Lei;  Zhou, Zhi-Hua
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Data models  Random variables  Proposals  Training  Prediction algorithms  Task analysis  Compressed sensing  Distribution change  one-pass learning  robust learning  non-stationary environments