Sentence examples for multivariate representation of from inspiring English sources
The strong discriminative power of the consensus signature by a multivariate representation of the 11 probesets is shown in Figure 8.
The use of linear combinations also aids in procuring a multivariate representation of the quality information that may, under a null hypothesis of equivalent quality, be reasonably approximated by a multivariate Gaussian probability model.
Second, we evaluate the effectiveness of the proposed technique in a controlled user study, comparing it to the two other common multivariate representations of clusters: parallel coordinates and scatter plot matrices.
The strong discriminative power of the selected probe-sets is depicted by either a heat-map plot or a multivariate representation.
Also, it is assumed that the multivariate molecular representation of the set of compounds reveals these analogies, i.e. physical and chemical properties of a chemical substance can be computed from its molecular structure, encoded in a numerical form with the aid of various descriptors.
To find time instants of changing correlation directions, key turning points (KTPs) are determined by a piecewise linear representation of multivariate time series.
It indicated that the shape weight we proposed in this paper was more suitable for the representation of multivariate time series model.
Furthermore, Latin hypercube sampling, which obtains a full representation of multivariate distribution in geographical space, is described in detail for its development, improvement, and application.
A crucial issue for addressing decision-making problems under uncertainty is the approximate representation of multivariate stochastic processes in the form of scenario tree.
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors.
Our results illustrate that the multi-objective optimization provides a balanced solution for multivariate responses and gives better representation of streamflow and LAI dynamics.
