Sentence examples for attributes of a user from inspiring English sources

Here, following Dybvig, we show how attributes of a user's utility function can be inferred from the distribution chosen.

Section 3 shows how attributes of a user's utility function can be inferred from his or her choice of distribution, given the underlying Arrow-Debreu prices.

On the redesigned Match.com, such features are joined by new offerings, like a compatibility test meant to illuminate the attributes of a user's ideal mate, and a feature called Wink that enables users to send flirty e-mail messages to prospective dates.

given the attributes of a user, enable the authorisation system to be able to instantly say which resources the user potentially has access to, and.

This introduced two new higher priority objectives into the project, namely: given the attributes of a user, enable the authorisation system to be able to instantly say which resources the user potentially has access to, and given a resource, enable the authorisation system to be able to instantly say which users, based on their attributes, potentially have access to this resource.

We use two baselines for comparison of the accuracy of our predictions: mostPop always predicting an attribute of a user based on the demographic group for which this content is most popular, and a random model, predicting user class randomly.

Finally, when granting attributes to a user, generation of a new secret key becomes unnecessary because Cloud Server generates secret key components corresponding to granting attributes.

The YouTube page for the apparently bootlegged trailer -- preceded by a red band warning of mature content and containing fleeting glimpses of nudity -- is attributed to a user named dobvlvstiuwir.

Although the number of rows used for decryption is fixed, the computation time for decryption increases linearly since the decryption process is also linear to the number of attributes a user has.

To maintain the same gender and age proportions, and the same degree distribution for each gender and age, we randomly re-shuffle the attributes of all users having the same degree (keeping the attributes of the same user together).

A prototype has been created and our results show positive results in the detection of unaccounted attributes affecting a user.