Figure 2 shows an example of how such a dataset sampler works.
We put a small dataset sampled from Caltech face and motorbike images by which you can examine the code.
In a Chinese dataset (samples from patients with gastric cancer), although Helicobacter was found to be absent, Wolinella (another member of the Helicobacteraceae family) was seen to be dominated and acted as the hub of the network, suggesting its capability to function like Helicobacter.
Finally we ran the analysis on an empty dataset, sampling from the prior distribution to evaluate the influence of the priors on the posterior distribution estimates [ 103, 104].
One focus of research in graphical models is how to learn them from a dataset of sample cases.
This characterization was complemented by the analysis of a dataset of samples newly collected, from two regions within the Pleistocene area, where the sedimentary facies of samples was additionally distinguished.
A better assay of minerals requires a dataset containing samples with a greater variability, which allows for an improvement in the predictive ability of FT-MIR spectroscopy.
A practical application of this technique would start with construction of a dataset using samples of known origin, encompassing all varieties expected.
Not every species occurs at each sampling site, resulting in a dataset with irregular sampling: only four species, for example, occur at all four sampling sites.
