Sentence examples for computational projections from inspiring English sources

Exact(1)

The combined information in Figures 2 and 3 illustrates that a substantial degree of structure in the DSE can be accreted while still within the 95% confidence interval of accepted random coil values, a result consistent with computational projections (38).

Similar(59)

An agreement of simulation with animal experiments, for example, will provide confidence in the computational projection towards estimation of clinically relevant effects in humans, which may be different due to species differences – yet another domain of mathematical model application.

To perform a forward projection (computing the projections of a given 3D volume) where each node is responsible for one slab, the computational results for adjacent slabs have to be merged to form the projections in these overlapping regions.

In a previous work we developed a computational method called projection to latent pathways (PLP), which was conceived to maximize covariance between envirome and fluxome data under the constraint of metabolic network elementary flux modes (EFM).

In order to reduce the computational complexity, the projection-based greedy (PBG) algorithm [22] assumes that the insertion of a new stream does not significantly alter the SNIR of already scheduled streams.

Efforts for deducing the computational costs in computing the projection have been made by using penalty function methods or relaxing the constrained convex set by polyhedral convex ones; see, e.g., [6 15].

Manual and computational alignment of the projections from these classes suggested intimate associations and the potential to form a neural circuit.

Yellow fibers are a computational representation of the projections of SF1+ neurons from VMHdm, revealed by the expression of a Cre-dependent GFP AAV reporter virus (Oh et al., 2014 ) sterotaxically injected into the VMHdm of NR5a1-Cre transgenic mice.

However, the computational difficulty of the projection might seriously affect the efficiency of the method.

Owing to high computational efficiency and nonlinear projection ability of using kernel functions, kernel methods are applied to extend the traditional linear model for feature selection and fusion.

To balance locality and computational efficiency, the hash projection matrix of each instance is parameterized, with guaranteed approximation error bound, as a linear combination of basis hash projections associated with a small set of anchor points.

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