Sentence examples for update the selection from inspiring English sources

Exact(1)

Given these considerations, the national Dutch GP training (Huisarts Opleiding Nederland) aims to update the selection to a competency- based procedure with an extension of instruments [ 8].

Similar(59)

Using an existing Markov chain model to predict the performance of the STAs, we propose an approach that updates the selection of each STA sequentially, thus avoiding the large complexity from the exhaustive search.

In other words, PPM is a continuous process which tries to align the management of all projects by continually examining and updating the selection and management of projects to increase the company's performance (Young and Conboy 2013).

However, unlike in Algorithm 1 where all users directly update their cell/RAT selection if is updated the selection is only triggered once at the beginning of a service request or if the user would be dropped from the air interface where it is currently assigned to.

Since the TTD is routinely updated, the selection of relevant molecules is a dynamic process that can provide different results over time as the scientific knowledge grows.

Another future research direction is to include intermittent feedback arrival on EW-RLNC algorithm and periodically update the coding window selection policy at feedback reception instant.

The design was not updated, the color selection remained black and only black.

This paper also updates the EOR selection criteria published by Taber et al. in 1996 (Society of Petroleum Engineers SPEE) 35385).

Additionally, in case users are subject to strong channel variations, for example, by mobility or fading during a service request updating the cell/RAT selection and therefore executing Algorithm 2(a) at more frequent intervals is an option to improve the performance and get close to the optimum again.

For this review, we used a similar search strategy of the ongoing IPD meta-analysis and updated the study selection (until January 2015) [ 35].

For optimization, we perform two iterating steps: (i) to minimize the classification error, select the most discriminative features using the gentle adaboost algorithm; (ii) according to the feature selection, update the filters to minimize the regularization on analysis image representation using the gradient descent method.

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