Sentence examples for more flexible representation from inspiring English sources

Our nonlinear transformation-based approaches have a more flexible representation ability, which is more suited to distant-talking speech with a complex distribution.

Compared to the methods used in commercial systems, these research efforts strive for a more flexible representation that potentially can be used to represent a variety of code requirements.

Such a formulation allows for a more flexible representation of the environment: the contextual effect could operate through, for example, the resources available to a school, which might depend on the parental income of all students (if schools are financed through local taxation), while peer influences on effort or performance might come only from friends.

In this paper we take advantage of a Bayesian approach to propose a more flexible representation of r, which is expressed semi-parametrically, as a piecewise linear interpolation of a collection of m+3 knots (discrete points, shown as dots in Figs. 1 and 2), illustrated in Fig. 1 and specified in (4) in the Appendix.

To support this, a second difference is to use a Bayesian rather than a Frequentist approach, which allows a more flexible representation of the recording probability as a function of time, although at the cost of a more complicated inferential calculation.

The advancement towards a more abstract, more global and more flexible representation of data is by no means unique to the Life Sciences.

Thus neither of these theories did much to challenge the post-Wittgensteinian consensus (see section 3.3) that continues to give imagery, at most, a minor, auxiliary role in cognition, with most of the burden being carried by either natural language or the more basic and more flexible representations of the hypothetical mentalese.

For example, more flexible lexical representations and flexible lexicon (García Velasco, 2016), flexible word classes (Rijkhoff and van Lier, 2013) and fluid grammar (Steels and De Beule, 2006 and Steels, 2011).

Instead, the premotor cortex may dedicate its resources to representing these features separately, creating a more compact and flexible representation.

Diener and colleagues' revisions of the Hedonic Treadmill model create a more flexible and nuanced representation of what is changeable and what is fixed between and within people.

In contrast, an ontology-based technology would provide a more open and flexible representation mechanism [ 10, 12- 14], thus facilitating the continuing incorporation and interpretation of new phenotype characteristics.