Sentence examples for weighted choice from inspiring English sources

While before globalisation, consuming local foods indeed represented the custom, because foods were plausibly local for the most part, today this orientation assumes the connotations of the individual's conscious and weighted choice.

The SVM selection of the best hyper-plane induces a different and weighted choice of the components with respect to a simple statistical classifier (as highlighted in Figure 5).

The RL algorithm initially weighted its choice of messages according to the baseline information about the patient's barriers similar to the tailored approach.

That means that the quality of the seafood, while not superlative, is good enough; the selection is weighted toward choices that will not challenge the American palate (you won't find monkfish liver here).

The structure of the node processing system is algorithmic but uniquely embodies preferred or weighted pathway choices, based on physiological needs, sociological needs, associative memory encapsulation and many other features.

This index is not a probability (of choice) weighted indicator that is typically derived from a choice model; rather we seek to establish an indicator based solely on the levels of service currently on offer.

By allowing repeated responses of a similar type (say action-selections rather than rule-selections) block designs may encourage the monitoring of recent responses and making choices weighted in relation to these recent events.

The modeller assumes that the utility can be represented as a sum of two components: first, a representative utility function (V jq ), measurable from attributes (x) of the individual, alternative or choice situation, weighted by coefficients ; while the second is a random term for the difference between the representative and the real utility.

Favouring similar proteins using a weighted random choice.

It then picks the next vertex to visit using the weighted random choice described in the previous section.

This weighted random choice is achieved by choosing the next protein in the walk with probability proportional to the common neighbour similarity between the current protein and each candidate neighbour.