Sentence examples for error estimation from inspiring English sources

The one-dimensional classifier was estimated by bolstered resubstitution error estimation to have 75.1% sensitivity and 92.5% specificity.

In this modified method, gain errors are firstly estimated and compensated, which eliminates the interaction between gain error estimation and position error estimation.

The F.E. error estimation is also addressed.

Moreover an error estimation analysis is provided.

We consider first the local error estimation.

Error estimation for our approximation is proved.

Meanwhile, the joint iteration between gain-phase error estimation and position error estimation is not required.

The approximation error can be controlled by an error estimation.

Our algorithm divides goal error estimation into three phases.

The methods for error estimation and interface treatment are discussed.

An error estimation of the instrument is also presented.