Sentence examples for data is known from inspiring English sources

Economists had predicted a slip of 2percentt but this data is known for its very volatile swings.

This reconciliation of model outputs with measured data is known as calibration.

The process of generating features from raw data is known as feature engineering and it can take significant manual effort.

It also sends out renewal forms with blanks filled in when data is known, and allows applicants to verify their forms with an electronic signature.

In addition, we also propose a local neighbourhood search (LNS) algorithm to obtain a more robust classifier if the data is known to have a non-normal distribution.

First, the real data might be out of reach due to different privacy constraints, while manually providing a synthetic set of data is known as a labor-intensive task that needs to take various combinations of process parameters into account.

The sometimes highly sophisticated and detailed data is known to be potentially lucrative, but sellers have often run into problems structuring their prices based on how much data individual customers already have – and how much extra information they may actually need and want.

To carry out our experiments, we introduce an implicit finite difference scheme for the partial differential equation, and we validate both the proposed scheme and the standard split-step scheme against a numerical implementation of the inverse scattering transform for a special case in which the scattering data is known exactly.

In the general model of verification (i.e., some kind of overbidding can be detected) we provide the first deterministic truthful auctions which indeed provide essentially the best possible approximation guarantees achievable by any polynomial-time algorithm even if the complete input data is known.

The OECD data is known for some problems.

If the distribution of the measurement data is known for example, measurements are log-normally distributed then an alternative strategy replaces values below the DL with expected values of the missing measurements, conditional on being less than the DL (Garland et al. 1993; Gleit 1985).