While stratified sampling requires more effort for data preparation, it is appealing for its higher prediction accuracy in scenarios where the performance varies among different sub-groups of population or sampling regions.
These principles and the simple and robust communication model, based on Interest and Data packets exchange, make NDN especially appealing for deployment in wireless ad hoc environments, characterized by a broadcast error-prone channel and time-varying topologies.
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For example, Netflix has found using hard data that kids' content that parents enjoy and not just tolerate is very appealing for families and therefore a worthwhile investment.
The SolEST database presents several features making it appealing for the SOL research community and for those interested in EST data management.
While these approaches are appealing for their interpretability, they rely on the appropriately pre-defined pathways rather than the structure of the data under study.
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