Sentence examples for a complete set of features from inspiring English sources

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We start with a complete set of features and sequentially remove those features that reduce the T2 value the least.

Additionally, classifiers were tested first on the smaller dataset containing 45 time points with a complete set of features and then on the larger dataset containing 178 time points where missing values have been imputed according to Section 2.4, presented below.

Similar(58)

In contrast, the work presented here evaluates a complete set of different feature categories and each feature's relevance is calculated.

In most of the analyzed works, only a few features are considered, whereas our work presents a complete set of different feature categories.

Magellan's new Premium Car Kit (creative name, there) costs a bundle but it's got a pretty complete set of features and is mercifully back-compatible.

The many available flavors range from a single-disc edition ($29.95) to a complete set of all four features ($54.98), with a Blu-ray edition ($39.99) in between.

However, users must be registered as an annotator to achieve the complete set of features potentially in a genome and add annotations [17].

It can also be argued that a classifier built with a smaller number of features is preferable to an equally accurate classifier built with the complete set of features.

Let the full information content of an entity E be denoted by I. Thus, I can be imagined as the complete set of features of an entity -that is, all those properties which are relevant for the observer.

Starting from the complete set of features, it generates an ordering at each time taking out the least promising feature.

To examine how much discriminative our feature groups in ({mathcal {F}}_1) are, we further conducted an analysis using the labeled examples and the standard feature selection measure (chi ^2) to find the top features only half of the features with scores greater than a given threshold (0.5) were selected (see Table 8 for the complete set of features and their corresponding (chi ^2) scores).

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