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Sentence examples for independent attributes from inspiring English sources

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This is an important starting point to identify the minimum number of independent attributes in order to optimize the Panel Test questionnaire.

To that end this paper proposes a taxonomy of models in terms of six independent attributes: applicability to observables, dimensionality, metricity, robustness, social penetration and conciseness.

In many decision making problems, a number of independent attributes or criteria are often used to individually rate an alternative from an agent's local perspective and then these individual ratings are combined to produce an overall assessment.

Big Variety pertains to datasets with a large amount of varying types of independent attributes, datasets that are gathered from many sources (e.g. search query data comes from many different age groups that use a search engine), or any dataset that is complex and thus needs to be seen at many levels of data throughout Health Informatics.

Molecule-level data frequently experiences the problem of "high dimensionality," where the data has a large number of independent attributes; this is because molecule-level data tends to have thousands (or tens of thousands) of possible molecules, configurations of molecules, or molecule-molecule interactions, and these are represented in datasets as features.

John Corvino makes the important point that sexual orientation and gender identity are two independent attributes.

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Similar(45)

Both representations are content independent, attribute equal importance to each of the three stages, and target the K-12 educational environment.

Now, let us define several sequence-order-independent attributes for detecting App-DDoS attacks.

We proposed a new model that utilizes sequence-order-independent attributes rather than the web page sequence order.

We show how to represent a set of web browsing behaviors using sequence-order-independent attributes instead of web page request sequences.

In Section 3, we propose a new App-DDoS detection method that includes new sequence-order-independent attributes and a multiple PCA model.

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