Sentence examples for the strong model from inspiring English sources

(2006) [1] for the problem with identical machines (P∥Cmax) in the strong model of execution and reaches, asymptotically, the lower bound of Christodoulou et al.

The Strong Model (M. H. Ackerman, L. Norsen, B. Martin, J. Wiedrich, and H. Kitzman, 1996) recently provided a framework for the survey and discussions.

This role has been conceptualized from the discrete pillars of research, education, practice, system support and leadership, articulated in the Strong Model of Advanced Practice.

Second, the "strong" model of the "out-of-Africa" scenario for human origins which posited virtually concurrent population-size and geographic expansion and that allowed no gene flow between archaic hominin populations and early humans has been refuted.

However Tesla had a push on in February with lease incentives so that could be what generated the strong Model S orders.

This contrasts with previous deconvolution approaches that try to recover unconstrained SNA estimates (Alexander et al., 2005; Benedek and Kaernbach, 2009) although it needs to be explored whether there are circumstances under which the strong model constraints impede accurate inference.

The strong modeling and sharp contrasts of light and shade of Velázquez's early illusionistic style closely resemble the technique of dramatic lighting called tenebrism, which was one of the innovations of the Italian painter Caravaggio (1571 1610).

Mixed-media art puts strong painterly figures in immersive full-bleed spreads, with creative and varied compositions adding energy; Yamasaki displays her muralist's sensibility in the balance of glowing color and in the strong modeling of the faces of the family members, with varied skin tones and hair that make it clear this is a multicultural clan.

We tested multiple spectral indices and found that a combination of NDVI and the green band resulted in the strongest model.

The LC950/SG (LaVie C) is the strongest model of the notebooks NEC presented today.

libSVM heuristic (when only one set of hyperparameters is needed), random search (when we need a strong model quickly, using less than a few dozen iterations), a Bayesian approach (when we want the strongest model and can wait a bit longer).