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We present a rigorous way of modelling the user and the machine in a shared-control system.
The methodology that we have developed for modelling the user intention extends our previous work in statistical models for dialogue management [46].
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In this paper, we propose LWMF which selects sub-matrices to model the user behavior better.
The presented architecture establishes the procedures to model the user interests.
We model the user and BS activity using a time-slotted model as depicted in Figure 1.
(2) The optimum pattern for modeling the user is identified using the ACI values obtained from the sample.
The authors have modeled the user's normal calling profile by considering the spatiotemporal attributes along with other relevant features.
The first step is to model the user's ability to use a switch keyboard correctly for different cursor durations.
To explain the stopping criteria of the contention rounds, we first formally model the users' transmissions.
Reviewing the literature, one can find different approaches modeling the users' activeness probability[22, 49].
Second, we modelled the users' profiles based on their familiarity with ontologies.
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CEO of Professional Science Editing for Scientists @ prosciediting.com