Sentence examples for past data from from inspiring English sources
It was particularly impressive, he said, that the model was so accurate when tested against past data from eight cycles.
Past data from Kantar shows that iPhone sales are strongly seasonal, while Android has increasingly strengthened its grip on the leading position in a number of European countries.
Past data from the Centers for Disease Control and Prevention shows that 30percentt of American workers don't get enough sleep, increasing their risk of stoke, obesity and other chronic diseases.
Unlike the classical cross-validation methods common in evaluation of machine learning algorithms, our experimental protocol accounts for a temporal nature of data in security applications and never predicts the past data from the future one.
In the spirit of data liberation, we want to make sure that any of you Aardvark users who would like to retrieve your past data from the service can do so.
For example, if a complete Gaussian window is used, it is not until time instant A+15 that the estimated value can be available for time instant A. However, Half-Window replicates the past data from time instant A-15 to time instant A as the future data from time instant A+1 to A+16, and immediately generates an estimated value for time instant A without any delay (Figure 10).
Strictly speaking, D0 can consist of prior predictions from past data, summary statistics from previous studies, or subjective elicitation based on case-specific information.
TA explores information from past data only, without consideration of macro or micro elements that could explain the future price behavior of specific stocks.
As several aspects of the context remain constant over an extended period during usage, a memory-based approach that exploits information from past data is employed.
In this paper, we present a multi-stage stochastic optimization formulation to consider potential future demand scenarios (obtained from past data).
When new data arrives, the trained "machine" predicts the current likelihood of possible fraud on the basis of what it learned constituted possible fraud from past data.
