Compact Broad Learning System Based on Fused Lasso and Smooth Lasso
Article Properties
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DOI (url)
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Publication Date2024/01/01
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Journal
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Indian UGC (journal)
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Refrences39
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Citations2
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Fei Chu Engineering Research Center of Ministry of Education of Intelligent Control for Underground Space, School of Information and Control Engineering, Artificial Intelligence Research Institute, Xuzhou Key Laboratory of Artificial Intelligence and Big Data, China University of Mining and Technology, Xuzhou, China ORCID (unauthenticated)
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Tao Liang College of Information Science and Engineering, Northeastern University, Shenyang, China ORCID (unauthenticated)
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C. L. Philip Chen School of Computer Science and Engineering, South China University of Technology, Guangzhou, China ORCID (unauthenticated)
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Xuesong Wang School of Information and Control Engineering and Xuzhou Key Laboratory of Artificial Intelligence and Big Data, China University of Mining and Technology, Xuzhou, China ORCID (unauthenticated)
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Xiaoping Ma School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China ORCID (unauthenticated)
Cite
Chu, Fei, et al. “Compact Broad Learning System Based on Fused Lasso and Smooth Lasso”. IEEE Transactions on Cybernetics, vol. 54, no. 1, 2024, pp. 435-48, https://doi.org/10.1109/tcyb.2023.3267947.
Chu, F., Liang, T., Chen, C. L. P., Wang, X., & Ma, X. (2024). Compact Broad Learning System Based on Fused Lasso and Smooth Lasso. IEEE Transactions on Cybernetics, 54(1), 435-448. https://doi.org/10.1109/tcyb.2023.3267947
Chu, Fei, Tao Liang, C. L. Philip Chen, Xuesong Wang, and Xiaoping Ma. “Compact Broad Learning System Based on Fused Lasso and Smooth Lasso”. IEEE Transactions on Cybernetics 54, no. 1 (2024): 435-48. https://doi.org/10.1109/tcyb.2023.3267947.
Chu F, Liang T, Chen CLP, Wang X, Ma X. Compact Broad Learning System Based on Fused Lasso and Smooth Lasso. IEEE Transactions on Cybernetics. 2024;54(1):435-48.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Mechanical engineering and machinery
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Least squares support vector machine classifiers | Neural Processing Letters |
| 1999 | |
| Fused lasso approach in regression coefficients clustering: Learning parameter heterogeneity in data integration | 2016 | |||
| On model selection consistency of Lasso | 2006 | |||
| UCI Machine Learning Repository | 2019 | |||
| Deep Learning | 2016 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Simultaneous Diagonalization of Hermitian Matrices and Its Application in PolSAR Ship Detection | IEEE Transactions on Geoscience and Remote Sensing |
| 2023 | |
Identification of molecular pattern and prognostic risk model based on ligand-receptor pairs in liver cancer | Frontiers in Immunology |
| 2023 |
Citations Analysis
The category
Medicine: Internal medicine: Specialties of internal medicine: Immunologic diseases. Allergy 1
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Simultaneous Diagonalization of Hermitian Matrices and Its Application in PolSAR Ship Detection and was published in 2023. The most recent citation comes from a 2023 study titled Simultaneous Diagonalization of Hermitian Matrices and Its Application in PolSAR Ship Detection. This article reached its peak citation in 2023, with 2 citations. It has been cited in 2 different journals, 50% of which are open access. Among related journals, the IEEE Transactions on Geoscience and Remote Sensing cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.