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As humans can recognize a song by its lyrics, information retrieval based on the lyrics has a significant potential.
However, the phase retrieval based on the HT can robustly calculate the phase distribution.
Retrieval based on the known protein family performed fairly well, but slightly worse than the proposed approach on MetaHIT.
Using this approach, we have discovered several distinct modes of rapid membrane retrieval based on the spatial and temporal characteristics of vesicle formation, as summarized in Figure 12.
We searched for articles using electronic retrieval based on the keywords "variable selection", "variable screening", and "multivariable", and hand searched all articles that were not selected electronically in order not to miss any articles that may involve selection of variables.
The system also offers document retrieval based on the unique identifier for a concept, providing a link back to the original databases from which the system's dictionary was generated.
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We consider four models of information retrieval based on combination of the level of skill or experience of the surfers as well as the degree of navigation support by the sites.
The second advantage is that the phase retrieval based on FFT is unstable at the high frequency when there exists small errors.
While Aggleton and Brown (1999) suggested a role for recognition and not recall, Van der Werf et al. (2003) suggested that this nucleus is functionally related to executive function and strategic retrieval, based on its connections to the prefrontal cortices (PFC).
Given the importance of group D, alternatively, we propose two steps to further improve patient retrieval based on their diagnosis in the next step, 1) use both of codes, ICD 9 and ICD 10 if possible (ICD 10 is rarely being used in current EHR systems) for patient cohort retrieval; 2) apply more concrete phenotype algorithms for patient cohort retrieval.
We have evaluated our method on both real and simulated data, and observed that the approach can effectively retrieve relevant metagenomic samples, outperforming both the FIGfams method based on known highly informative protein families as well as retrieval based on species composition of the samples.
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