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Finally, a left-to-right HMM/GBE with full covariance matrices is used to smooth the scores and improve the results with a scoring combination for both systems.
Moreover, the reverse Cuthill Mckee (RCM) technique, an effective preprocessing technique in bandwidth compression of sparse matrices, is used to improve computational efficiency.
In the nonlinear incremental analysis, the structure tangent stiffness matrix, which is assembled from the element tangent stiffness matrices, is used to predict the next incremental displacements under a loading increment.
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Diagonal covariance matrices are used in all of the HMMs.
These matrices are used to estimate the clustering function.
Two types of distance matrices were used for analysis.
New estimates of eigenvectors for diagonally dominant matrices are used.
These hybrid functions and their operational matrices are used for representing matrix form of these equations.
Via Euler angles, rotation matrices are used in computer graphics.
Stochastic matrices are used to define Markov chains with finitely many states.
For the prediction of SF2/ASF binding sites, two matrices were used: "SF2/ASF/IgM-BRCA1" and "SF2/ASF".
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