Sentence examples for enough dataset to from inspiring English sources

However, most of the foundations of Data mining sit over the assumption of a large, complete enough dataset to substantiate accurate models, assuming stability on the "concepts" to be modelled.

These were enough dataset to be applied to small scale case studies (the buildings with the similar architectural style, such as brick exterior walls (Dimitrov and Golparvar-Fard 2014) and progress detection of concrete structures (Han and Golparvar-Fard 2015)).

Besides, and as a general criticism, almost all of the above-mentioned works have not been tested with large enough datasets to provide realistic evaluations of its performance.

For MR acquisition, there are not yet enough datasets available to systematically examine how reliability is affected by the particular acquisition protocols, although the current data suggest that sequences previously optimized for brain morphology analyses (i.e., those used in GSP dataset) will have better reliability.

The other existing AUs related to cognitive overload (e.g., head motion) were not statistically present enough in our dataset to be taken into account in this study.

Human and mouse data were combined in order to generate a large enough dataset for optimizing the model's performance.

However, it's important to ask whether there is a "good enough" dataset that might provide a cheaper alternative, since data license businesses are at risk of being commoditized.

In other words, with a large enough dataset, all a language really needs is a community of motivated users in order to stay alive -- or even to come back from the dead.

With well-tuned parameters and large enough dataset, the deep learning algorithms can have better performance than current popular CADx.

Furthermore, grasshopper collection as an assessment technique of ENs may only be practicable as long as the bioindication system is developed from a large enough dataset as determined by species accumulation curves.

"We'll figure it out as we have people using the product, but if we have a large enough dataset it potentially could be used as a predict measure.