Exact(4)
Unsupervised learning can also be used for automatically learning features for the data.
Nonetheless, these LCMNB performances were worse than the classification performance achieved by SNB when the "optimal" number of features for the data set was utilised.
We extracted features for the data from hitchhiking logs, analyzed their importance and built corresponding classification and regression models for estimating hitchhiking experience with a sufficient accuracy.
Finally, all technical and sampling replicates were averaged, resulting in data for 18 samples and 5,891 molecular features for the data analyses.
Similar(56)
Although the correspondence is not perfect, it is clear that the simple physical model of looping outlined above can account for many features of the data, for example the locations of the looped peaks and their relative strengths, including the variation as loop length is changed.
Most methods for generating confidence scores work within a single type of data, such as yeast two-hybrid or protein complex data, by searching for features of the data that correlate with biological significance [ 30, 44- 47].
Evidence for the suitability of the model to account for major features of the data is that a minimal number of observed signals yields a reconstructed model with a small associated residual (difference between the data and the model).
In addition, qualitative assessment of the reliability of distribution identification is derived from a quantitative rating system for desired features of the data set and chosen distribution.
These tests extract useful, biological features from the data for expert analysis.
For open as well as for axial codes, we filtered, highlighted and focused on the salient features of the data recorded for generating categories and themes.
Such descriptors can provide better discriminative power for the unusual features of the data.
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Justyna Jupowicz-Kozak
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