Sentence examples for given set of criteria from inspiring English sources

With a given set of criteria, areas which have high potential for wind energy development were quantitatively identified.

The objective is to assign a rock mass to one of the pre-defined classes using a given set of criteria.

This multi criteria (MC) evaluation is modelled as the aggregation of partial scores attributed to a project with regards to (w.r.t). a given set of criteria.

The sample size calculations we performed provide an approximate number of replicates for a given set of criteria.

The sample size calculation provides the approximate but not exact number of replicates required for a given set of criteria.

Furthermore, since we were particularly interested in scoring a given set of criteria, i.e., we need to query the model given the criteria, we did not investigate models that used words solely from PICO as features in the logistic regression model because they are not useful for our purpose.

Artificial neural networks (ANNs) and genetic algorithms (GAs) are termed as artificial intelligence that mimics the human with a given set of experimental criteria; GA enables identification of best alternative with goodness of fit by performing multiple random searches.

The process of finding the best geometric parameters for a given set of (many and/or mutually conflicting) design criteria is automated with a multi-objective genetic algorithm.

We propose a fixed bit-allocation-based discretization approach to extract a binary representation which is able to fulfill all the required criteria from each given set of user-specific features.

Given (mathbf {x}_{i}in mathbb {R}^{d}), a set of training inputs, and (y_{i}in mathbb {R}), the corresponding outputs, with i=1,...,n, the algorithm finds the hyperplane in the non-linearly transformed kernel space, f(x), that better fits a given set of training data, minimizing a least squares criteria.

In general, the significance of our contribution is three-fold: a) We propose a fixed bit-allocation-based discretization approach to extract a binary representation which is able to fulfill all the required criteria from each given set of user-specific features.