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However, the current methods for material selection may induce the information losing and cannot represent the real preference of decision maker precisely.
Meanwhile, an effective upper-bound model is designed to avoid information losing in mining, and also an effective projection-based pruning strategy is designed as well to cause more accurate sequence-utility upper-bounds of subsequences.
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We need to measure the amount of information lost between a master recording and an MP3.
Syntax and vocabulary differ among languages, but entropy — the amount of information lost in scrambled text — remains the same.
Information lost compared with the best model.
These methods are efficient for solving some problems but sometimes cause important information lost.
It is more difficult to recover such information lost in the presence of noise through EMD.
The Akaike information criterion (AIC) measures the information lost when a given model is used to describe population characteristics.
The reported 'Packet Not Recovered Rate' (PNRR) is the percentage of the information lost after the recovering procedure.
Mapping very large scale coefficients to only one state is not appropriate due to the difference information lost.
The value of AIC gives the information lost if the chosen model is used to approximate the truth model.
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Write better and faster with AI suggestions while staying true to your unique style.
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