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Unsupervised feature selection via joint local learning and group sparse regression Regular Papers
Yue WU, Can WANG, Yue-qing ZHANG, Jia-jun BU
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4, Pages 538-553 doi: 10.1631/FITEE.1700804
Keywords: Unsupervised Local learning Group sparse regression Feature selection
Asystematic review of structured sparse learning Review
Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4, Pages 445-463 doi: 10.1631/FITEE.1601489
Keywords: Sparse learning Structured sparse learning Structured regularization
Sparse fast Clifford Fourier transform Article
Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8, Pages 1131-1141 doi: 10.1631/FITEE.1500452
Keywords: Sparse fast Fourier transform (sFFT) Clifford Fourier transform (CFT) Sparse fast Clifford Fourier
Non-convex sparse optimization-based impact force identification with limited vibration measurements
Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0762-2
Keywords: impact force identification inverse problem sparse regularization under-determined condition alternating
Uncertainty propagation analysis by an extended sparse grid technique
X. Y. JIA, C. JIANG, C. M. FU, B. Y. NI, C. S. WANG, M. H. PING
Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1, Pages 33-46 doi: 10.1007/s11465-018-0514-x
Keywords: uncertainty propagation analysis extended sparse grid maximum entropy principle extended Gauss integration
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
Keywords: regression model energy consumption building envelope office building different climates
A review of intelligent optimization for group scheduling problems in cellular manufacturing
Frontiers of Engineering Management Pages 406-426 doi: 10.1007/s42524-022-0242-0
Keywords: cellular manufacturing group scheduling flowshop literature review
Laplacian sparse dictionary learning for image classification based on sparse representation Article
Fang LI, Jia SHENG, San-yuan ZHANG
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11, Pages 1795-1805 doi: 10.1631/FITEE.1600039
Keywords: Sparse representation Laplacian regularizer Dictionary learning Double sparsity Manifold
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
Keywords: data-driven modeling pharmaceutical organic synthesis Lasso regression dynamic response surface methodology
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5, Pages 1181-1198 doi: 10.1007/s11709-021-0744-6
Keywords: interaction load sharing ratio piled raft nonlinear regression artificial neural network
Multivariable regression model for Fox depth correction factor
Ravi Kant MITTAL, Sanket RAWAT, Piyush BANSAL
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1, Pages 103-109 doi: 10.1007/s11709-018-0474-6
Keywords: settlement embedment Fox depth correction factor regression multivariable
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1676-2
● A novel framework integrating quantile regression with machine learning
Keywords: Driver-response Upper boundary of relationship Interpretable machine learning Quantile regression
Emergence mechanisms of group consensus in social networks
Frontiers of Engineering Management doi: 10.1007/s42524-023-0277-x
Keywords: group consensus social network collective intelligence
Ali Reza GHANIZADEH, Morteza RAHROVAN
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4, Pages 787-799 doi: 10.1007/s11709-019-0516-8
Keywords: soil-reclaimed asphalt pavement blend Portland cement unconfined compressive strength multivariate adaptive regression
Pijush Samui, Jagan J
Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2, Pages 133-136 doi: 10.1007/s11709-013-0202-1
Keywords: unsaturated soil effective stress parameter Gaussian process regression (GPR) artificial neural network
Title Author Date Type Operation
Unsupervised feature selection via joint local learning and group sparse regression
Yue WU, Can WANG, Yue-qing ZHANG, Jia-jun BU
Journal Article
Asystematic review of structured sparse learning
Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU
Journal Article
Sparse fast Clifford Fourier transform
Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO
Journal Article
Non-convex sparse optimization-based impact force identification with limited vibration measurements
Journal Article
Uncertainty propagation analysis by an extended sparse grid technique
X. Y. JIA, C. JIANG, C. M. FU, B. Y. NI, C. S. WANG, M. H. PING
Journal Article
Multiple regression models for energy consumption of office buildings in different climates in China
Siyu ZHOU, Neng ZHU
Journal Article
A review of intelligent optimization for group scheduling problems in cellular manufacturing
Journal Article
Laplacian sparse dictionary learning for image classification based on sparse representation
Fang LI, Jia SHENG, San-yuan ZHANG
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
Multivariable regression model for Fox depth correction factor
Ravi Kant MITTAL, Sanket RAWAT, Piyush BANSAL
Journal Article
of driver-response relationships: identifying factors using a novel framework integrating quantile regression
Journal Article
compressive strength of soil-RAP blend stabilized with Portland cement using multivariate adaptive regression
Ali Reza GHANIZADEH, Morteza RAHROVAN
Journal Article