Sentence examples for unknown data from inspiring English sources

Given unknown data, the K-Nearest-Neighbor classifier searches the pattern space for the K training data that are closest to the unknown data.

In effect, we regard a part of the data sets as unknown data and then evaluate the predictive performance of the model for the unknown data.

This is particularly useful at these iterations of unknown data symbols.

When estimating unknown data from its observed data, its estimation generally becomes an ill-posed problem.

These K training tuples are the K "Nearest Neighbors" of the unknown data.

The authors start from the optimal joint estimation of the unknown data and the phase noise.

The remaining unknown data are estimated using the EM algorithm for 15 iterations.

Uniform handling of data was ensured especially for conflicting, missing or unknown data.

Typically, the source assists the destination with this task by transmitting known pilot symbols along with the unknown data symbols.

As we can observe from Figures 2 and 3, it definitely pays to exploit information from the unknown data symbols.

While the subspace algorithm exploits the information bearing in the unknown data to find the signal subspace.