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Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory Journal article
Zhou, Jianhang, Li, Shuyi, Zeng, Shaoning, Zhang, Bob. Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
Authors:  Zhou, Jianhang;  Li, Shuyi;  Zeng, Shaoning;  Zhang, Bob
Favorite | TC[WOS]:1 TC[Scopus]:0  IF:5.3/5.7 | Submit date:2024/05/16
Adaptation Models  Bayes Methods  Computational Intelligence  Computational Intelligence  Graph Theory  Nuclear Magnetic Resonance  Nuclear-norm Matrix Regression  Probabilistic Logic  Probability Theory  Random Graph  Structural Information  Training  
Model selection using response measurements: Bayesian probabilistic approach Journal article
James L. Beck, Ka-Veng Yuen. Model selection using response measurements: Bayesian probabilistic approach[J]. Journal of Engineering Mechanics, 2004, 130(2), 192-203.
Authors:  James L. Beck;  Ka-Veng Yuen
Favorite | TC[WOS]:465 TC[Scopus]:541  IF:3.3/3.0 | Submit date:2018/10/30
Bayesian Analysis  Model Studies  Time Series Analysis  Probabilistic Methods  Mechanical Systems  Structural  Measurement  Excitation