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Pressure thresholding is one of the most common methods to reduce the number of pressure data.
The most widely used approach to reduce MC complexity is using efficient sampling methods to reduce the number of simulations.
The purpose of this article is to present methods to reduce the number of variables and keep those that contain more information for reliable and informative classification.
To implement the RA algorithm in real time, we also need to design fast methods to reduce the number of SDMA sets to be searched.
Consequently, to reduce costs, policymakers in healthcare and insurance companies are investigating methods to reduce the number of self-referrals to the ED.
Moreover, methods to reduce the number of spinning sidebands (SSBs) for the systems with huge anisotropies in combination with 1H inverse detection at fast MAS are discussed.
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While, template selection is an effective method to reduce the number of fingerprint templates in database.
Therefore, a refinement step is performed in each method to reduce the number of false peaks.
Both stepwise and best-subset model construction methods were used to reduce the number of significant variables.
Locality sensitive hashing method is combined with the kNN method in order to reduce the number of computations.
In classroom studies by Dr. Wells and others, the sequential method was found to reduce the number of times witnesses chose an innocent person, without reducing the number of times they chose the right one.
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