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Joint cognitive radio spectrum sensing and prediction model in [67] proposed an exponential primary user prediction and estimated spectrum opportunity wastage and interference.
It is usually a one-time effort without considering the effects of users and user prediction order on recommendation accuracy, resulting in predication deviation on its nearest neighbors.
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Experiments on two real-world datasets show that, unlike group predictions, single user predictions can lead to improvements in the recommendation accuracy and the dealing of the curse of the dimensionality phenomena.
With a comprehensible predictor that is easily communicated to the user, predictions can be easier to interpret and verify.
So it looks like the idea behind 4Cast is to allows users to share the opinions and predictions on topis like sports, finance, politics and celebrity news, and compare these with other users predictions.
Specifically, the accuracy of User Type prediction is boosted from 47.25% to 66.04%.
If the user-interface can not display sufficient information for user's prediction, an automation surprise may occur.
We briefly review research on user demographic prediction from the aspect of data types that are recorded.
The closely related task of gender (and user demographics) prediction from handwriting is evaluated using the classification rate.
Because abrupt modification can lead to user dissatisfaction, prediction of coming application requires to make gradual transitions.
This is achieved by a combination of user evaluation prediction and the integration of interactive and non-interactive EC.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com