The phrase "assume features" is correct and usable in written English.
It can be used in contexts where one is discussing characteristics or attributes that are taken on or adopted by something or someone.
Example: "In this model, we can assume features that enhance its performance in various environments."
Alternatives: "adopt characteristics" or "take on attributes".
In different microenvironments, human γδ T cells assume features reminiscent of classical Th1, Th2, Th17, NKT and regulatory T cells, showing diverse biological functions.
Indeed, the HUVECs monolayer displayed tight junctions further supporting the idea that in coculture models noncerebral endothelial cells may be induced to assume features typical of the cerebral endothelium [ 18– 20, 20– 20].
One is to fit the high-dimensional data, but using simple models that restrict complexity such as naive Bayes models that assume features are conditionally independent or even simpler models that share some parameters across classes (Novovicova et al, 1996).
Existing efficient feature selection algorithms (feature ranking methods) usually assume feature independence, and assign a discriminative score to each feature.
For illustration purpose assume feature X1 is measured on the same 6 subjects, but also in 4 other studies (so 5 in total) with the same technology and study design.
What I didn't see were all the people who might celebrate my death, but that's all changed with the skeleton, who assumes features at will.
It assumes features to be independent and, thus, allows a straightforward decomposition of a prediction into the individual contributions of each feature.
On the other hand, biochemical analysis suggested that DICD assumed features of necrosis, as manifested by the release of lactate dehydrogenase (LDH), which was increased 72 h postincubation under detached conditions; this increase was also suppressed by expression of myrFAK.
Furthermore, we shed new insight into the mechanics of multi-stable laminates, showing that the multi-stability and snapping behaviour of these structures is much richer than previously assumed, featuring many unstable post-buckling branches and localised regions of stability.
On the other hand, such a normal distribution assumed feature selection method can not apply to the RNA-Seq and MiRNA-Seq data directly, because these data are not normally distributed.
We assume that features of an object are independent of each other, and for each feature, assume that its edge point coordinates p ij → and corresponding SIFT vectors s ij → are also independent.
