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In practice exact calculation of this sum is prohibitive, hence one relies on approximating MCMC methods [ 8- 10].
Thus, we take an approach similar to the one proposed in [27], by only focusing on approximating the communities for the purpose of this research.
In essence, given the data D and a model with parameters θ and latent variables Z, the variational Bayes method is based on approximating the posterior distribution p(Z,θ|D) with a factorial approximation q(Z,θ|ϕ) = q(Z|ϕ Z )q, where ϕ are the variational parameters.
In the literature, one can find some results in IGA over an irregular mesh based on approximating schemes, while little work is reported so far using interpolatory schemes.
Even more than Mr. Domingo, she sounded like a standard repertory singer intent on approximating a Baroque sound.
The method is based on approximating functions and their derivatives by using the Whittaker cardinal function.
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Initial approximations based on approximate methods are refined using much higher levels of theory.
This approach is based on approximate transformation of chance constraints into deterministic ones.
These same waves cyclotron resonate with approximately 100-keV electrons to produce relativistic electrons on approximate day time scales.
Both are based on approximate graph subsumption.
For this case we propose an approximate policy, based on approximate dynamic programming [18, 19].
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