English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 71 Help

Selected(0)Clear Items/Page:    Sort:
Local powers of least-squares-based test for panel fractional Ornstein–Uhlenbeck process Journal article
Tanaka, Katsuto, Xiao, Weilin, Yu, Jun. Local powers of least-squares-based test for panel fractional Ornstein–Uhlenbeck process[J]. Journal of Time Series Analysis, 2024.
Authors:  Tanaka, Katsuto;  Xiao, Weilin;  Yu, Jun
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.2/1.4 | Submit date：2024/10/10
Panel Fractional Ornstein–uhlenbeck Process  Least Squares  Asymptotic Distribution  Local Alternative  Local Power  
Destination competitiveness research over the past three decades: a computational literature review using topic modelling Journal article
Xia, Haiyang, Muskat, Birgit, Karl, Marion, Li, Gang, Law, Rob. Destination competitiveness research over the past three decades: a computational literature review using topic modelling[J]. Journal of Travel and Tourism Marketing, 2024, 41(5), 726-742.
Authors:  Xia, Haiyang;  Muskat, Birgit;  Karl, Marion;  Li, Gang;  Law, Rob
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.2/8.5 | Submit date：2024/05/16
Bertopic  Comprehensive Literature Analysis  Computational Literature Review  Destination Competitiveness  Machine Learning Algorithm  Ordinary Least Squares Regression  Text Mining  Topic Modelling  Tourism  Tourist Destination  
The Riemannian two-step perturbed Gauss–Newton method for least squares inverse eigenvalue problems Journal article
Zhao, Zhi, Jin, Xiao Qing, Yao, Teng Teng. The Riemannian two-step perturbed Gauss–Newton method for least squares inverse eigenvalue problems[J]. Journal of Computational and Applied Mathematics, 2022, 405, 113971.
Authors:  Zhao, Zhi;  Jin, Xiao Qing;  Yao, Teng Teng
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.1/2.1 | Submit date：2022/05/13
Nonlinear Least Squares Problem  Parameterized Least Squares Inverse Eigenvalue Problem  Two-step Perturbed Gauss–newton Method  
Low-rank inter-class sparsity based semi-flexible target least squares regression for feature representation Journal article
Zhao, Shuping, Wu, Jigang, Zhang, Bob, Fei, Lunke. Low-rank inter-class sparsity based semi-flexible target least squares regression for feature representation[J]. Pattern Recognition, 2022, 123(108346).
Authors:  Zhao, Shuping;  Wu, Jigang;  Zhang, Bob;  Fei, Lunke
Favorite | TC[WOS]:19 TC[Scopus]:22  IF:7.5/7.6 | Submit date：2022/03/28
Least Squares Regression  Low-rank Inter-class Sparsity  Feature Representation  Image Classification  
An Iterative Implementation of Variable Projection for Separable Nonlinear Optimization Problems Journal article
Chen, Guang Yong, Gan, Min, Zhu, Hong Tao, Chen, Long, Chen, C. L.P.. An Iterative Implementation of Variable Projection for Separable Nonlinear Optimization Problems[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(11), 7259-7267.
Authors:  Chen, Guang Yong;  Gan, Min;  Zhu, Hong Tao;  Chen, Long;  Chen, C. L.P.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:8.6/8.7 | Submit date：2022/05/17
Iterative Algorithms  Jacobian Matrices  Matrix Decomposition  Numerical Models  Optimization  Parameter Estimation  Projection Algorithms  Radial Basis Function Network-based State-dependent Autoregressive (Rbf-ar) Model  Separable Nonlinear Least-squares (Snlls) Problem  Signal Processing  Variable projection.\enlargethispage-12pt  
Mediating Effect of Cross-Cultural Competency on International Experiences and Self-Efficacy among Hotel Employees Journal article
Jung, D, Paek, S, Choe, J.Y.J, Kim, J.Y. Mediating Effect of Cross-Cultural Competency on International Experiences and Self-Efficacy among Hotel Employees[J]. International Journal of Hospitality & Tourism Administration, 2021, 22(4), 361-382.
Authors:  Jung, D;  Paek, S;  Choe, J.Y.J;  Kim, J.Y
Adobe PDF | Favorite | TC[Scopus]:4  IF:2.9/3.1 | Submit date：2019/09/12
Cultural Intelligence  International Tourism  International Experiences  Self-efficacy  Experiential Learning Theory  Partial Least Squares  
A novel expectation–maximization-based separable algorithm for parameter identification of RBF-AR model Journal article
Chen, Guang Yong, Chen, Long, Cheng, Chen, Zhang, Xian. A novel expectation–maximization-based separable algorithm for parameter identification of RBF-AR model[J]. Nonlinear Dynamics, 2021, 104(4), 4023-4034.
Authors:  Chen, Guang Yong;  Chen, Long;  Cheng, Chen;  Zhang, Xian
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:5.2/4.8 | Submit date：2022/05/13
Expectation–maximization (Em) Algorithm  Parameter Estimation  Radial Basis Function Network-based State-dependent Autoregressive (Rbf-ar) Model  Separable Nonlinear Least Squares Problem (Snlls)  Variable Projection (Vp) Algorithm  
A Riemannian under-determined BFGS method for least squares inverse eigenvalue problems Journal article
Zhao, Zhi, Jin, Xiao Qing, Yao, Teng Teng. A Riemannian under-determined BFGS method for least squares inverse eigenvalue problems[J]. BIT NUMERICAL MATHEMATICS, 2021, 62(1), 311-337.
Authors:  Zhao, Zhi;  Jin, Xiao Qing;  Yao, Teng Teng
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:1.6/1.8 | Submit date：2022/03/28
Parameterized Least Squares Inverse Eigenvalue Problems  Riemannian Under-determined Bfgs Method  Under-determined Equation  
Direct least squares fitting of ellipses segmentation and prioritized rules classification for curve-shaped chart patterns Journal article
Lei, Iat Long, Teh, Phoey Lee, Si, Yain Whar. Direct least squares fitting of ellipses segmentation and prioritized rules classification for curve-shaped chart patterns[J]. APPLIED SOFT COMPUTING, 2021, 107, 107363.
Authors:  Lei, Iat Long;  Teh, Phoey Lee;  Si, Yain Whar
Favorite | TC[WOS]:4 TC[Scopus]:6  IF:7.2/7.0 | Submit date：2021/12/08
Chart Patterns  Direct Least Squares Fitting Of Ellipses  Financial Time Series  Segmentation  Sliding Window  
A Method for Diagnosing the State of Insulation Paper in Traction Transformer Based on FDS Test and CS-DQ Algorithm Journal article
Zhou, Lijun, Wang, Dongyang, Cui, Yi, Zhang, Liqing, Wang, Lujia, Guo, Lei. A Method for Diagnosing the State of Insulation Paper in Traction Transformer Based on FDS Test and CS-DQ Algorithm[J]. IEEE Transactions on Transportation Electrification, 2021, 7(1), 91-103.
Authors:  Zhou, Lijun;  Wang, Dongyang;  Cui, Yi;  Zhang, Liqing;  Wang, Lujia; et al.
Favorite | TC[WOS]:14 TC[Scopus]:17  IF:7.2/7.9 | Submit date：2021/12/07
Cuckoo Search (Cs) Algorithm Optimized By The Differential Evolution (De) Algorithm And The Quadratic Interpolation (Qi) Method (Cs-dq Algorithm)  Frequency-domain Dielectric Spectrum (Fds) Test  High-speed Railway  Insulation Diagnosis  Multiclass Least-squares Support Vector Machine (Ls-svm) Model  Traction Transformer