We propose two ways of modelling the expectations used in nonmonotonic reasoning: by expectation sets, equipped with selection functions, and by expectation relations.
It's my obligation as a citizen, and my parental commitment to model the expectations I have set for my children.
For the final analyses, we chose to model the expectation "unfolded state" shifts as the temperature-dependent shifts for the Gly11-CH2 of NAUYUQ-WLKDG-Gly11-PSSGRPAA.
To model the expectation parameters, following the recommendation of Dienes (Dienes, 2011), we consulted previous studies that also explored unconscious face processing using the CFS paradigm (Amihai et al., 2011; Moradi et al., 2005; Yang, Hong, & Blake, 2010).
A similar approach for quantitative traits (including production traits in animals or plants) was to model the expectation of their distribution as a linear combination of marker genotype, allele or haplotype effects.
In speaker modeling, the expectation maximization (EM) method estimates parameters for each mixture.
In the discrete-time ARCH class of models, the expectations are formulated in terms of directly observable variables, while the discrete and continuous-time stochastic volatility models involve latent state variable(s).
To operationalize the model, the expectations and perceptions means of service quality items are considered as outputs, and a constant value of virtual input, 1, is assigned as the inputs of the DMUs.
For such models, the expectation is a pattern of freely dissociating executive deficits, providing that deficits (i) are associated with separate regions of damage; and (ii) can be separately measured with different cognitive tests.
He said quite graciously that NBC's model "predates the expectations of fans who want everything live," but admitted that it "has its challenges because it's from a different era".
