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Important examples are "correlation networks," in which the underlying data may be time series (see e.g., [10]), DNA microarrays [11], or any sort of multivariate feature vector, and the edge weights reflect a natural notion of correlation between the nodal data.
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Given patch feature vector, multivariate Logistic Regression models the probability for patch label to be class as follows: (6).
The calculation is a multistep procedure that results in a profile (fixed-sized feature vector) that summarizes the multivariate differences in histone modification levels between the paired samples at each locus.
During the first step, for each of the cornerstones the density of the feature vector is approximated by a multivariate normal distribution using data intervals with staging labels only.
Training on single 2D slices, the Mahalanobis distances between the resulting multivariate tissue-specific densities were studied as functions of the feature vector composition and dimension.
We applied a multivariate decoding technique, based on a linear support vector machine (SVM) [ 15] with multivariate feature selection [ 16], to the fMRI signals within the hippocampus (see Experimental Procedures and the Supplemental Experimental Procedures available online).
However unlike psRNAtarget, which measures the miRNA-RNA interaction and gross secondary structure of the mRNA using RNAup program [ 17] at its back-end, p-TAREF prefers to apply dinucleotide density variation profile around the target site as the multivariate feature set for discrimination through statistical machine learning approach, Support Vector Regression.
Feature vector.
Construct the feature vector.
Feature vector development.
Moment: proposed feature vector.
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