Sentence examples for more explicit representation from inspiring English sources

Or is it necessary to include a more explicit representation of atoms, electrostatic, hydrogen bonding, and van der Waals forces to describe these changes?

These forces are likely to remain prominent aspect of technology learning effects in the foreseeable future – and so are in need of improved, more explicit representation in energy technology forecasting.

More explicit representation of the effects of soil moisture, substrate supply, and their interactions with temperature has been proposed as a way to disentangle the confounding factors of apparent temperature sensitivity of Rh and improve the performance of ecosystem models and ESMs.

The comparison between the single-frame LDA-transformed and 29-frame features that are reduced to 135-D features by means of an LDA-transform shows that adding a more explicit representation of the time context only improves the recognition accuracy in the 10- and 5-dB SNR conditions; in all other conditions, the results obtained with single-frame features are better.

In the mechanism presented in this paper, we have generalized the robot's behavior [presented in Cepeda et al. (2012)] into an agent's behavior, and extended the model in such a way that it has more explicit representation of space and sensed parameters.

This allows for a more explicit representation of the participants opinions from the above identified themes.

We then point out what tutoring and learning principles have been used to date in the acquisition literature, though unintentionally and implicitly, and discuss how a more thorough and explicit representation of these principles would help improve how computers learn from users.

A 2002 retrospective of Bannon's books claims "there were more explicit and nuanced representations of sexuality in those paperbacks than could be found almost anywhere else".

We argue that the current focus on spatial aberrations has limited the development of public health surveillance by excluding a more explicit geographical understanding and representation of place.

The first main contribution of this paper is to show that compositional models can be mapped onto a parallel visual architecture similar to that used by bio-inspired visual models such as deep convolutional networks but more explicit in terms of representation, hence enabling part detection as well as object detection, and suitable for complexity analysis.

These two types of representations differ in richness, articulation, and easiness of access with payoff-sensitive representations being more explicit and difficult to create, and emotional memories being closer to intuition-mediated processes in decision making.