Sentence examples for how well the data from inspiring English sources

He believes that there is a proportional relationship between how well an algorithm is designed, how well it performs, and how well the data it returns are visualized.

Reference models, Semantic Web, standards, ontology, and other technologies enable fast and efficient merging of heterogeneous data, while the reliability of produced information is largely defined by how well the data represent the reality.

Thus, no matter how well the data shows one-and-done players are doing, believers in the value of NCAA competition can claim these players would have turned out better had they spent multiple years in college, as Worlock implied was the case with the eight players who appeared in this year's MVP top 10.

The algorithm behind the new Second Life search tool will resemble Google's: found objects will be ranked according to how well the data used to describe them match the search terms entered, how close multiple words are to each other, and how popular the objects seem to be, based on the frequency of references to their locations.

But the biggest difference in the "new quality" is that it puts a great deal of emphasis on technical quality in the construction of the data model, and much less on how well the data that populates the model describes real things in the real world.

Instead, he and his colleagues will use a strategy from Bayesian statistics; they'll use models to make their best assessment of what they think is happening — that climate change is making hurricanes stronger, for example — and then see how well the data support it.

The IPC data were compared to the sub-set of IPC-ProvLab matched data to see how well the matched data represented the IPC surveillance data (Table  1).

But then it works backward, using the model to resynthesize the input data, and its performance is judged on how well the reconstructed data matches the original data.

The mass dimension is characterized by modeling isotopic distributions, fitting it to the data, and scoring how well the experimental data fits the model (Fit Score).

A good item fit referred to how well the observed data are close to the expected data.

Fit statistics indicate how well the empirical data fit the measurement model's requirements.