Sentence examples similar to knowledge space in from inspiring English sources

For the three technological fields considered, it is observed that emergent knowledge spaces in this region are rendering space to different trends of relationships that could lead to a Triple Helix model.

The regional perspective in the creation of knowledge spaces in Mexico is an important basis on which a science and technology policy could be designed to contribute to social and economic development.

In spite of significant advancements in text- and data-mining techniques, the vast knowledge space of biomarkers in biomedical text has remained unexplored.

Similar evidence can also be seen in a movie which shows the change in knowledge space over time for one particular child (additional file 1).

The proposed in-silico robustness test was performed as a full factorial design of simulated method conditions deliberate shifts for each predicted point in knowledge space with modeling error propagation.

Probability of success at a given problem was given by a sigmoid function of the distance between the problem's location and the subject's "knowledge threshold", a set of three coordinates which specified the location in knowledge space of the corner of the subject's rectangular zone of high knowledge.

Within the development program of a product, the likelihood of testing all the boundaries of the specification is low and leaves a potential gap between the control space defined by the specification and the knowledge space evaluated in the development of the product.

The key question is then how to craft an inclusive and diverse Open Science knowledge-space in order to include different scientific prestige systems.

"Enumerating the items in the knowledge space from 0 to 181, we can visualize a single knowledge space as a barcode, with the bar filled in if the student has the item and empty otherwise" (Harper and Reddy 2013).

The performance of these models is usually evaluated by the "hide-and-discover" strategy of cross-validation, in which the knowledge space of gene-function pairs is randomly split into a training set and a test set.

As described in the previous section, the knowledge space is discretized in m steps.