Sentence examples for Find dependencies from inspiring English sources
Random matrix analysis, for instance, helps researchers find dependencies, inferences and clusters of insights worth knowing in seemingly random, poorly organized, barely populated data sets.
Two-way ANOVA followed by the Holman-Sidak test was used to analyze data in 2 groups x 3 intervals matrix to find dependencies between independent factors.
In a broader setting, when the goal is to find dependencies between two data sources (chemical structures and genomic responses), correlation-type approaches match the goal directly, and have the additional advantage that a predefined classification is not required.
PMs provide non-parametric estimates without a particular model structure, so this exercise can help find dependency patterns in the data without assumptions about particular links or particular structural constraints like linearity.
Finding dependencies among tasks through provenance queries, without additional support, is not trivial.
We performed a text analysis of the user descriptions and comments, and found dependencies between road types and certain facilities on them.
The analyzed data has also been analyzed at Jyväskylä University by other data mining methods [1]; one objective of this study is to investigate whether the GUHA method also finds dependencies that are not reported in the study [1].
Finding dependencies among different types of data could help improve the accuracy.
We found dependency in the retrieval of different elements of the same event, even when the event was formed from overlapping pairwise associations presented across separate trials, but only when all possible pairwise associations in the event were presented.
In both cases, we will find interpretative dependencies reminiscent of the dependency relation between an anaphor and its antecedent, and we will describe, if only in outline, how basic DRT has been extended so as to explain the similarities.
This contribution presents an approach to find temporal dependencies between alarm events in an alarm time series.
