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We think MaxEnt's instability is due to the factors listed under Statistical Concerns, and it highlights the importance of careful locality selection.
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Intermittent local selection combined with a high host species turnover across localities indicates a very dynamic coevolutionary process that is reflected in the variable levels of host-parasite matching and mismatching at the regional scale.
This work investigates these ideas by employing application-level task locality for selection of tasks rather than hardware memory topology as is the norm in the literature.
Meanwhile in the study of feature selection, locality preserving is widely recognized as an effective measurement criterion.
We are not aware of any commercial system that has adopted locality-aware neighbor selection mechanisms.
Locality-aware neighbor selection mechanisms affect how users of the peer-to-peer network choose peers for data exchange.
The proxy-tracker, as we simulate, represents the best performance of a locality-aware neighbor selection mechanism.
We also use a locality-aware neighbor selection mechanism as a baseline to evaluate the LRU caching effectiveness.
This has motivated research and development to explore caching and locality-aware neighbor selection mechanisms for costly traffic reduction.
To put cache performance in perspective, the study also uses a locality-aware neighbor selection mechanism as baseline to evaluate the caching effectiveness.
We find that LRU caching can provide greater traffic reduction than locality-aware neighbor selection in several scenarios of cache size and number of ISP clients.
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