Sentence examples for mutual feature from inspiring English sources

Mutual feature for core shell NPS is the approximation of their properties to the properties of homogeneous NPs from shell material when mass of shell will be greater than the mass of core.

First, lymphocytic infiltration is a pathological mutual feature of TIN and PBC.

The paleolandscapes and paleоgeographic reconstructions of the main stages of the relief and landscape development of the sites area as the mutual features of the subsistence strategies in this region for the period of 17,000 14,000 BP are described.

All the Odontoglossum-like species of Cyrtochilum mentioned above share a series of mutual features with Odontoglossum, i.a.a

First, the combiner considers the first raked features from all the selected subsets and if all the first-ranked features are same then without computing feature class and feature-feature mutual information, we pick up that common feature as an optimal feature.

It removes redundancy among the selected features using feature-feature mutual information and selects relevant features using the feature class mutual information and hence removes the biasness induced by the individual feature-selection methods.

Otherwise, the method computes feature class and feature-feature mutual information and selects a feature that has maximum feature class mutual information but minimum feature-feature mutual information.

In this section, we look at mutual information feature selection, which is one of the most commonly used feature selection methods.

The authors develop a so-called minimax mutual information feature extraction (Minimax MIFX) which maximizes the mutual information between a new feature set and target classes while minimizing the data redundancy.

In addition, the BAN logic model confirms mutual authentication feature of the proposed protocol.

Moreover, a well known mutual information feature selection approach (MIFS) based on maximum-relevance and minimum-redundancy is also adopted in single-objective and multi-objective DE algorithms for feature selection.