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Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization None

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 755-762 doi: 10.1631/FITEE.1601771

Abstract: extra-gradient alternating direction method with augmented Lagrangian function (SEGAL), to minimize the graph-guidedA number of important applications in machine learning follow the graph-guided optimization formulation, such as linear regression, logistic regression, Lasso, structured extensions of Lasso, and structuredregularized logistic regression.We conduct experiments on fused logistic regression and graph-guided regularized regression.

Keywords： Stochastic optimization     Graph-guided minimization     Extra-gradient method     Fused logistic regression     Graph-guidedregularized logistic regression    

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A knowledge-guided and traditional Chinese medicine informed approach for herb recommendation Research Article

Zhe JIN, Yin ZHANG, Jiaxu MIAO, Yi YANG, Yueting ZHUANG, Yunhe PAN,11521043@zju.edu.cn,yinzh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10,   Pages 1416-1429 doi: 10.1631/FITEE.2200662

Abstract: In this paper, we propose a knowledge-guided and TCM-informed approach for .

Keywords： Traditional Chinese medicine     Herb recommendation     Knowledge graph     Graph attention network    

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Presentation of machine learning methods to determine the most important factors affecting road traffic accidents on rural roads

Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 657-666 doi: 10.1007/s11709-022-0827-z

Abstract: Multiple Logistic Regression (MLR) was used to predict the likelihood of RTAs.

Keywords： safety     rural accidents     multiple logistic regression     artificial neural networks    

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Man-machine verification of mouse trajectory based on the random forestmodel Research Articles

Zhen-yi XU, Yu KANG, Yang CAO, Yu-xiao YANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7,   Pages 925-929 doi: 10.1631/FITEE.1700442

Abstract: We also compare the RF model with the baseline models (logistic regression and support vector machine

Keywords： Man-machine verification     Random forest     Support vector machine     Logistic regression     Performance metrics    

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Time reversal method for guided wave inspection in pipes

DENG Fei, WU Bin, HE Cunfu

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 251-260 doi: 10.1007/s11465-008-0050-1

Abstract: that the time reversal array method is beneficial to the improvement of the signal-to-noise ratio of a guidedThe time reversal process used for guided wave inspection leads to the temporal and spatial focusing.

Keywords： reversal process     beneficial     circumferential location     energy     number    

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Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management   Pages 653-667 doi: 10.1007/s42524-022-0217-1

Abstract: We then introduce new features and propose a graph convolutional network (GCN) framework, AS-GCN, to

Keywords： autonomous system     multiclass relationship     graph convolutional network     classification algorithm     Internet    

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Application of Vague Sets and Vague Graphics in ITS Logistic

Zhang Ran,Liu Yang,Xie Yanqing,Zhang Jiang,He Zhongxiong

Strategic Study of CAE 2004, Volume 6, Issue 8,   Pages 57-63

Abstract: method, Vague multi-criterion decision-making, Vague graphics and their applications in the contemporary logisticAt last an example of Vague sets in logistic alterative selection according to the positive and negative

Keywords： intelligent logistic     artificial intelligence     Vague set     Vague chart     application in ITS logistic    

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Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 3-3 doi: 10.1007/s11465-021-0659-x

Abstract: Applying a robot system in ultrasound-guided percutaneous intervention is an effective approach for prostate

Keywords： ultrasound image guidance     prostate percutaneous intervention     parallel robot     kinematics identification     particle swarm optimization     informative value    

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Predicting SARS for Guangdong, Beijing and Mainland China 2003 Cases

Wang Jianfeng

Strategic Study of CAE 2003, Volume 5, Issue 8,   Pages 23-29

Abstract: In order to model the SARS system, a generalized Logistic growth function has been adopted in the paperthe main features of evolution of the SARS population size have been obtained using the generalized Logistic

Keywords： SARS     generalized Logistic growth model     Gompertz function     prediction     optimization    

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High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 294-302 doi: 10.1007/s11684-010-0092-8

Abstract: In 1997, a patient with osteosarcoma was first successfully treated with ultrasound imaging-guided HIFUcancer, pancreatic cancer, bone tumors, and renal cancer have been treated with ultrasound imaging-guided

Keywords： high-intensity focused ultrasound (HIFU)     ultrasound imaging-guided HIFU (USgHIFU)     magnetic resonanceimaging-guided HIFU (MRgHIFU)    

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, which

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

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Multiple regression models for energy consumption of office buildings in different climates in China

Siyu ZHOU, Neng ZHU

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 103-110 doi: 10.1007/s11708-012-0220-z

Abstract: Then on the basis of the simulated results, the multiple regression models were developed respectivelyAccording to the analysis of regression coefficients, the appropriate building envelope design schemesAt last, the regression model evaluations consisting of the simulation evaluations and the actual caseevaluations were performed to verify the feasibility and accuracy of the regression models.It is believed that the regression models developed in this paper can be used to estimate the energy

Keywords： regression model     energy consumption     building envelope     office building     different climates    

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Large-scale graph processing systems: a survey Review

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 384-404 doi: 10.1631/FITEE.1900127

Abstract: Graph is a significant data structure that describes the relationship between entries.Many application domains in the real world are heavily dependent on graph data.However, graph applications are vastly different from traditional applications.of specific graph processing platforms.In this survey, we systematically categorize the graph workloads and applications, and provide a detailed

Keywords： Graph workloads     Graph applications     Graph processing systems    

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Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 221-236 doi: 10.1007/s11705-021-2061-y

Abstract: Two approaches can be adopted in the estimation of the model parameters: stepwise regression, used inseveral of previous publications, and Lasso regression, which is newly incorporated in this paper forTherefore, DRSM with Lasso regression can provide faster and more accurate data-driven models for a variety

Keywords： data-driven modeling     pharmaceutical organic synthesis     Lasso regression     dynamic response surface methodology    

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Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1181-1198 doi: 10.1007/s11709-021-0744-6

Abstract: The obtained results are then checked statistically with nonlinear multiple regression (NMR) and artificial

Keywords： interaction     load sharing ratio     piled raft     nonlinear regression     artificial neural network    

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Title Author Date Type Operation

Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

Journal Article

A knowledge-guided and traditional Chinese medicine informed approach for herb recommendation

Zhe JIN, Yin ZHANG, Jiaxu MIAO, Yi YANG, Yueting ZHUANG, Yunhe PAN,11521043@zju.edu.cn,yinzh@zju.edu.cn

Journal Article

Presentation of machine learning methods to determine the most important factors affecting road traffic accidents on rural roads

Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI

Journal Article

Man-machine verification of mouse trajectory based on the random forestmodel

Zhen-yi XU, Yu KANG, Yang CAO, Yu-xiao YANG

Journal Article

Time reversal method for guided wave inspection in pipes

DENG Fei, WU Bin, HE Cunfu

Journal Article

Classifying multiclass relationships between ASes using graph convolutional network

Journal Article

Application of Vague Sets and Vague Graphics in ITS Logistic

Zhang Ran,Liu Yang,Xie Yanqing,Zhang Jiang,He Zhongxiong

Journal Article

Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle

Journal Article

Predicting SARS for Guangdong, Beijing and Mainland China 2003 Cases

Wang Jianfeng

Journal Article

High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Multiple regression models for energy consumption of office buildings in different climates in China

Siyu ZHOU, Neng ZHU

Journal Article

Large-scale graph processing systems: a survey

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Journal Article

Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis

Journal Article

Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based

Journal Article