Lecture Notes on Data Engineering and Communications Technologies268 Advances in Intelligent Networking Collaborative Systems
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Investigating the Effect of Cluster Structure on the Effectiveness of Eigenvalue Manipulation Based on Matrix Perturbation Theory.- Study on the Important Eigenvalues and Eigenvectors Based on Low-Rank Approximation with Graph Spectrum Shift.- Consideration of a Method Using Degree-Biased Random Walk to Estimate Important Eigenvalues of Graph Matrices.- An Integrated Computational Approach to improve Online Debates Understanding.
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Investigating the Effect of Cluster Structure on the Effectiveness of Eigenvalue Manipulation Based on Matrix Perturbation Theory.- Study on the Important Eigenvalues and Eigenvectors Based on Low-Rank Approximation with Graph Spectrum Shift.- Consideration of a Method Using Degree-Biased Random Walk to Estimate Important Eigenvalues of Graph Matrices.- An Integrated Computational Approach to improve Online Debates Understanding.
Beschrijving
(1)
Investigating the Effect of Cluster Structure on the Effectiveness of Eigenvalue Manipulation Based on Matrix Perturbation Theory.- Study on the Important Eigenvalues and Eigenvectors Based on Low-Rank Approximation with Graph Spectrum Shift.- Consideration of a Method Using Degree-Biased Random Walk to Estimate Important Eigenvalues of Graph Matrices.- An Integrated Computational Approach to improve Online Debates Understanding.
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