Sentence examples for dissimilar value from inspiring English sources

MPAs are inadequate for resolving long term conflict between groups who hold highly dissimilar value orientations toward the use of marine resources.

The other municipalities highlighted represent spatial outliers, where the spatial unit has a significant and dissimilar value compared to its near-by or neighbouring municipalities.

If we let X denote the number of genes in common, then the probability of two unrelated pathways (under the null hypothesis) having at least n genes in common is given by Pathways for which the null hypothesis was rejected at the 0.05 level, i.e P X ≥  n) < 0.05 were labeled as similar (value of 1) and the remaining as dissimilar (value of 0) in the pathway similarity matrix.

A negative value for I indicates that the feature is surrounded by features with dissimilar values.

A low negative Z score for a feature indicates the feature is surrounded by dissimilar values.

Otherwise, a spatial proximity of dissimilar values indicates a negative spatial autocorrelation.

A negative Moran's I means that dissimilar values cluster together thus forming a dispersed pattern.

Considering all phages studied in this work, dissimilar values of inactivation efficiencies were found; the results differ in more than one order of magnitude.

By decomposing Moran's I, Anselin ([1995]) developed Local Indicators of Spatial Association (LISA) in order to identify spatial clusters with similar values and to detect spatial outliers with dissimilar values (Anselin, [1995]).

A microstructural study (transmission electron microscopy) of representative specimens of each type at low and high strain rates reveals a basically similar microstructure, despite dissimilar values of energy storage.

Random Forest (-P 100-I 100-num-slots 1-K 0-M 1.0-V 0.001-S 1), Naïve Bayes, AdaBoostM1 (-P 100-S 1-I 10-W weka.classifiers.trees.DecisionStump) and MultiLayer Perceptron (-L 0.3-M 0.2-N 500-V 0-S 0-E 20-H a) are applied to over_sampled data sets using dissimilar values of cross-validation and KNN.