Sentence examples for classical expectations from inspiring English sources

Though they may not match up to the absolute idiomatic conviction of the Chicago-based jazz pianist and songwriter Patricia Barber's versions of her own material, the closing group of transcriptions offered by Fleming and Höll also exemplified the soprano's enthusiastic willingness to lead her regular audience beyond their classical expectations – and to do so with grace and style.

Many previously unanticipated small RNAs have been identified, some with relative low GC contents (≤50%) and sequences that do not fold readily into base-paired secondary structures, contrary to the classical expectations for non-coding RNAs in a hyperthermophile.

In recapitulations too Schubert shies away from harmonic simplicity and Classical expectation; his phrasing also is often irregular.

It is obvious that when (g(cdot)=0), (mathcal{E}_{g}) is reduced to the classical expectation (mathbb{E}).

Similarly, Wojciech Zurek defines the correspondence principle as a demand for an agreement between the "quantum and classical expectation values" (Habib et al. 1998), arguing that without the phenomenon of decoherence, the correspondence principle is violated.

In this case the two waves of the single photon emitted synchronously by the two crystals even in the same TEM00-mode are not coherent in contrast to the classical expectation.

It is well-known that Jensen's inequality holds true for classical expectation, which, in terms of operator, can be seen as a particular type of monetary utility functions.

We use the classical expectation maximization (EM) algorithm combined with Newton's method to solve the maximization step as these distributions are discrete and have the finite support of the gray-level range.

However, sometimes the classical linear expectation (mathbb{E}) does not quite represent people's preferences (see Allais [5], Ellsberg [6]).

The results obtained in the article are the extensions of the complete convergence and complete moment convergence under classical linear expectation space.

DIST avoids the imputation of subject-level genotypes by directly applying, to unmeasured SNP statistics, the classical conditional expectation formula for multivariate normal variates.