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Moreover, it seems that diagnostic biases are irrespective of data distributions: we have observed it happens to normally distributed and negative binomial distributed data.
Our experiments demonstrate that for a variety of data distributions and applications, reordering is responsive to dynamic preference changes, imposes minimal overheads in overall completion time, and provides dramatic improvements in the quality of the feedback over time.
Figure 8 demonstrates PRE outperforms others whatever combination of data distributions used.
A Markov-driven model is robust in capturing various types of data distributions observed financial data.
This report presents in detail the data collection methods, quality control measures, and initial analyses of data distributions and relations among indoor, outdoor, and personal concentrations.
Consider Figs. 1(a)–(d) as a sequence of data distributions of an application presented in time, initiating at t0.
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The new model of data distribution has made a number of on-line resources and visuzalizations possible.
Furthermore, it offers the possibility of data distribution over several hosts.
Moreover, considering both global and local structures of data distribution makes our feature selection process more effective.
The Polygon descriptor and Deforming distance method are combined to measure the similarity between data sets based on the shape of data distribution.
Effect of data distribution In Fig. 8, we study the effect of data distribution on algorithms.
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