Sentence examples for models it is expected from inspiring English sources

An article in Circuits yesterday about research on enhancing the colors in a television picture misstated the way Philips will add colors in rear-projection models it is expected to introduce next year.

Correction: August 27, 2004, Friday An article in Circuits yesterday about research on enhancing the colors in a television picture misstated the way Philips will add colors in rear-projection models it is expected to introduce next year.

Because the dynamic range is directly related to the covariance matrices of the acoustic models, it is expected that the covariance shrinkage [14] can occur in noisy features.

In these models it is expected that anti-apoptotic proteins would be activated by the introduced oncogenes even during early stages.

Considering only those regions that are well-conserved and similarly structured by both models, it is expected that in one third of the protein (mostly in the alpha helix) mutations could be evaluated accurately.

Through the use of such models, it is expected that translation to the human tendon will be successful and that therapeutics, diagnostics and clinical outcomes will continue to improve.

Since we did not require the physical interaction to support our pathway models, it was expected that the pathways we identified to be larger than that identified by integrating genetic and physical interaction data [1], [8].

In all models it was expected that the three distinct symptoms of heart-focused anxiety would be significant beyond demographic covariates (gender, age, having children) and clinical variables (clinical diagnosis of either LQTS or HCM, and a recent SCD in the family).

For a robust classification model it is expected to get very low values for the above mentioned performance metrics (say, 0-50 %).

For the clean speech model, it is expected to get comparatively higher log-likelihood from the output of NSB2 (LL3) than from the output of NSB1 (LL2).

Assume that P1 truly corresponds to speech and P2 to the acoustic event E. When using the AE model, it is expected to get comparatively higher log-likelihood from the output of NSB1 (LL1) than from the output of NSB2 (LL4).