Sentence examples for classes of errors from inspiring English sources

Exact(4)

Although they both the GPS and the IMU measure position, they exhibit completely different classes of errors.

It seems obvious that at the level at which individuals write new programs, a change of language can eliminate whole classes of errors, or make them possible.

A real convolution code in systematic form [16] is used to compute parity values associated with the processing outputs as shown in Figure 2. Certain classes of errors occurring anywhere in the overall system including the parity generation and regeneration subsystems are easily detected.

Errors in SNP array data can in principle confound an analysis of NCO because certain classes of errors can mimic these events (e.g., if a child is truly heterozygous but is called homozygous, or if a parent is homozygous but called heterozygous).

Similar(56)

The definition of adaptive synchronization of multiple chaotic systems with unknown parameters is given, and then based on the idea of adaptive control method, adaptive laws are derived to estimate the unknown parameters, and nonlinear adaptive controllers are developed to ensure the asymptotical stability of two classes of error systems.

Obviously, there are many other classes of error that creep into microarray data.

Pedant is MS Windows software for estimating locus-specific maximum likelihood rates of these two classes of error.

Division of errors into allelic dropouts and false alleles is useful not only because allelic dropouts are typically more frequent than false alleles (Broquet and Petit, 2004), but also because the two classes of error affect analyses in fundamentally different ways (Wang, 2004; Hadfield et al. 2006).

For a regulator confronting this class of errors, it does little good to express the law in the conventional sense.

The antifragile loves randomness and uncertainty, which also means crucially a love of errors, a certain class of errors.

The convolution code's structure is designed to produce distinct syndromes for a large class of errors appearing in the processing outputs.

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