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This is an algorithm approach to relevance, similar to what Sphere and Bloglines have done (although with very different data points).
The result of this is an algorithm that can send more data at any given time (without incurring losses), especially on long-haul links.
This is an algorithm used for parameter estimation in autoregression analyses and is regarded as a good estimate of the fractional (fractal-like) nature of a vector.
This is an algorithm that offers a buying price and a selling price at all times, thus ensuring that there is always a counterparty with which to trade.
This is an algorithm for selecting a subset of features for a particular learning task.
This is an algorithm modified from the original by Jonathan Levy (Ref. Levy JC, Matthews DR and Hermans MP.
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And God, in this case, is an algorithm of United Airlines.
The key idea that enables this capability is an algorithm that learns from failed unfoldings.
The core of this paper is an algorithm for the generation of random instances of polyhedral scenes.
Unlike the previous modeling approaches, this is an iterative algorithm.
This is an FPT algorithm with respect to the maximum degree of a tree.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com