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We propose to apply the diffusion framework to estimate an HMM model, by computing a reduced dimensionality representation of the training set and estimating the meta-states.
We then apply the diffusion kernel to strings of dummy variable marker sequences; the motivation of the non-Euclidean metric space is followed by an introduction of the diffusion kernel.
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Sproles (1979) applied the diffusion of innovation theory in the context of fashion.
This article explains this by applying the diffusion of innovation theory.
Because it is difficult to suppose that the entire reservoir is isotropic, owing to the presence of faults and fractures, we applied the diffusion equation to clusters Mqs1, 2, and 3.
Instead of using pre-defined destination points and calculating the directions to a specified destination point--as it is the case when applying the diffusion movement model for weighting [27], the source of the gas is, in our case, the actual waypoint.
Michalevsky et al. [49] applied the diffusion framework [50] to speaker identification, where a feature vector consisting of the mel frequency cepstral coefficients (MFCC) and their first temporal derivative is used to parameterize the manifold of each speaker, by embedding them into a lower dimensional space.
Standard diffusion metrics will be obtained by applying the diffusion tensor model to the low value DWI data (b=1000).
Our motivation for applying the diffusion kernel stemmed from the assumption that a non-Euclidean distance may be able to more clearly represent genomic similarities.
Since the device provides the known fixed origins of the lipid and PEG before matrix was applied, the diffusion length of PEG into the lipid domain and vice versa can be accurately measured, as shown in Figure 6.
To name a few, Helitzer et al. applied the diffusion of innovation theory to assess and predict the adoption of a telehealth program in rural areas of New Mexico [ 37].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com