Sentence examples for weights was implemented from inspiring English sources

In [15], a Bayesian NMF with gamma priors for source signals and mixture weights was implemented through a MCMC algorithm.

Two distinct classes of synaptic weights were implemented in the network, standard (S) and strong cross-excitation (SCE) (Fig. 5).

As is well known, conventional NNs can be implemented by circuits: the Hopfield NNs models [1] can be implemented in a very large-scale electronic circuit where the self feedback connection weights are implemented by resistors, in which resistors are applied to emulate neural synapses.

Convex hulls for obtaining the weights are implemented using a standard Graham scan.

Similarly, xtmixed and gllamm can be used in Stata and the lme4 package in R. In the Stata program gllamm, a full pseudo-maximum-likelihood estimation which allows for specification of probability weights, is implemented via adaptive quadrature [ 27].

In the former, a pseudolikelihood approach for accommodating inverse probability weights is implemented by using adaptive quadrature, and a sandwich estimator is used to obtain standard errors that account for complex sampling, since model-based standard error estimates may not be valid.

Because the selection and clusters were done using PPS, sample weighting was implemented only at the household level.

In rabbits, selection for uniformity of birth weight was implemented successfully and resulted in improved survival rate of baby rabbits without reducing mean birth weight [ 31].

Literature search was performed by using PubMed and the numbers of abstracts listed in the search results were used for the estimation of p i. Generic term weighting was implemented by applying directly the following formula.

The weight is implemented as a function of image row to consider the gradual change in image resolution in the row-wise, vertical direction (2).

Currently, four properties for the edge weighting are implemented.