Sentence examples for Unimportant data from inspiring English sources
Unimportant data in the hard-disk only add to the clutter, leaving little or no space for important issues.
It means losing a lot of important data — your messages can be hard to get back and you'll have to resubmit your logins, for instance — but it also gets rid of all of the unimportant data, too.
Quantity--Receiving a constant influx of information makes it hard to distinguish important from unimportant data, particularly amid a busy schedule.
Consequently, the important features are deemphasized by the unimportant data.
We then fit this model using the lasso penalty strategy to automatically filter out unimportant data sources and further calculate the coefficient of determination (R) as a score to measure the strength of association between disease d and gene g.
Firstly, I will propose a model, LSTM-Jump, that can skip unimportant information in sequential data, mimicking the skimming behavior of human reading.
We do not advocate such a procedure in general, but the handling of the intermittent missing values is unimportant in these data: alternative procedures, imputing the 5 intermittent missing values all as 0 or all as 1, produced results differing by less than 1% of a standard error from those shown.
Preoccupied by a big anticorruption protest movement and internal bickering among politicians, officials tended to dismiss the gloomy data as unimportant or as temporary setbacks.
This effect has been considered and found to be unimportant for the hominoid data by Burgess and Yang (2008).
Similar findings have been described by others who have produced models on HES specifically 28 as the test is recognised to detect unimportant differences within large data sets.
Bayesian methods have the advantage of embodying and yielding parameter distributions rather than using point-estimates; the balance of the data is unimportant, multiple methods can be compared simultaneously in a single analysis, they are readily implemented and interpreted; and, they are easily generalised to more complex study designs and hierarchies [ 12- 14].
