Sentence examples for generating new features from inspiring English sources

In contrast to operation on features, the operation on distance applies some simple statistical analysis on the distance between feature vectors without generating new features.

This operator cannot only generate new features from more promising areas in the search space, but also effectively increase the population diversity.

This operator can not only generate new features from more promising areas in the search space, but also effectively increase the population diversity.

We have demonstrated that discretization can often be used to generate new features which should be used in addition to the dataset's non-discretized features.

D-MIAT only generates new features when strong indications exist for one of the target values needing to be learned and thus is intended to be used in addition to the original data.

This paper's first claim is that discretization should not necessarily be used to replace a dataset's original values but instead to generate new features that can augment the existing dataset.

Feature transformation is carried out by mapping or combining features of the original feature space, a process that changes original features and generates new features.

In our submitted runs, we applied the Algorithm 2.2 presented in the paper (64), which generates new features from multiple RDEs and integrates them in a logistic regression model.

Different from traditional methods for text classification e.g. bag-of-words features with support vector machine (SVM) or logistic regression, our method generates new features using the co-occurrence of existing features in big unlabeled data, thus incorporating richer information to overcome data sparseness and leading to more robust performance.

This can be done by generating new sub features for every feature (features represent system metrics in this context) used in the training.

More specifically, generating new FVs with high dimensionality may be laborious and time-consuming; for example, in [20], a separate subpopulation needed to be generated for each new generated feature.