Sentence examples for using the weight matrix from inspiring English sources
Again, the use of either Eq. (27) or (30) with the weight matrix defined in Eq. (28) in the CI is preferable to the usual weighted least-squares solution using the weight matrix defined in Eq. (26).
We identify the most probable words, using the weight matrix W characterizing p v|h), under the highest ranked topic for each emotion.
To identify SXL-binding sites, overlapping windows of 16 nucleotides were scored using the weight matrix (Table S1), and strings that scored higher than the cut-off value of 5.1 were labeled as potential high-affinity binding sites.
Overall, the binding parameters inferred using QPMEME systematically indicated less drift than the parameters inferred using the weight matrix, with the best overall performance when the SELEX data set was used to train the algorithm.
Therefore, by using the Weight Matrix, it is possible to calculate the cosine of the angle between the vectors of terms, which are representative of the documents, to define the distance between them.
Briefly, for every possible binding site pair in a specified range and preceded by T within the given sequence, binding score (lower-the-better) is calculated using the weight matrix developed by Moscou and Bogdanove (Moscou and Bogdanove, 2009), and best-scoring TALEN sites as well as the RVD sequences are displayed.
By using the weight matrices, a specific score can be calculated for any segment of the matching size, based on its nucleotide sequence.
The spatial and temporal jacobians for FMT can therefore be calculated using the weight matrices computed for functional tomography (W a(t))using the following: Using the lifetime values estimated for the FRETing and nonFRETing donor species, we can therefore construct the weight functions for each FRET complex component (W FRET t) and W nonFRET t)).
The advantage of using the weighting matrix (Q (k)) is that it alleviates the adverse effects of outliers.
Secondly, column [2] presents the Sys-GMM results using the weighting matrix discussed in Blundell and Bond (1998).
The proposed adaptive localization methods using the weighting matrix and variable step size are addressed in Section 4. The MSE analysis of the proposed WBN algorithm is performed in Section 5.
