Your English writing platform
Free sign upSuggestions(5)
Exact(7)
Another recently proposed method based on random matrix theory provides the prior distributions with maximum entropy, which is an alternative for model-form uncertainty quantification in RANS simulations.
We calculated the similarity of multidimensional time sequence combined with the sliding window technology based on random matrix theory.
As a consequence, another effort has been made to derive an analytical capacity expression based on random matrix theory [21, 23].
In specially, the research of clustering nonlinear correlation data object is rare, so we propose Matrix Similarity Clustering Algorithm (MSCA) based on random matrix theory and combined with sliding window technology to cluster the similarity of multidimensional time sequences.
Because our study object is multifactor time sequences and there are no simple linear relationships, we propose Matrix Similarity Clustering Algorithm (MSCA) based on random matrix theory combined with sliding window technology to cluster the similarity of multidimensional time sequence.
We plan to apply a novel clustering method based on Random Matrix Theory (RMT) [ 18] which is completely objective and do not require the specification of cluster number and initial centroid locations.
Similar(53)
Moreover, customized measurement matrices can be defined, that are based on random DFT matrix row selection.
Thus, the significance tests were based on random permutations of matrices as is appropriate for relational data.
The sensing matrix based on random filtering is plotted in Figure 1.
In [5, 6], an intermediate structure for the measurement matrix is proposed based on random sampling, called block compressed sensing (block CS).
In this paper, the methodology used to derive the covariance matrix associated with the multivariate normal pdf based on random and systematic uncertainties is examined, and a procedure used to estimate this covariance matrix using Monte Carlo analysis is presented.
More suggestions(15)
based on random peptide
based on random coding
based on inductive matrix
based on random sampling
based on random distribution
based on random shape
based on random access
based on random integration
based on random mobility
based on random observation
based on random cell
based on structured matrix
based on random utility
based on random rewiring
based on simplifying matrix
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com