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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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Kernel reconstruction learning
期刊论文
NEUROCOMPUTING, 2023, 卷号: 522, 页码: 1-10
Authors:
Wu, Yun
;
Xiong, Shifeng
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Submit date:2023/02/07
Kernel method
Representer theorem
Interpolation
Classification
Density estimation
Sequential algorithm
Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization
期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2022, 页码: 42
Authors:
Gao, Juan
;
Liu, Xin-Wei
;
Dai, Yu-Hong
;
Huang, Yakui
;
Gu, Junhua
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View/Download:39/0
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Submit date:2023/02/07
Distributed non-convex optimization
Machine learning
Momentum methods
Optimization algorithms
Convergence rate
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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Submit date:2022/04/02
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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Submit date:2022/04/02
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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Submit date:2022/04/02
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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Submit date:2022/04/02
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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Submit date:2022/04/02
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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View/Download:79/0
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Submit date:2022/04/02
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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Submit date:2021/10/26
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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View/Download:107/0
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Submit date:2021/10/26