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It obtains an accuracy of 72.2%.
It obtains saddle-point by using adaptive critic technique.
It obtains information about the user's walking motions from hip angle sensors.
It obtains the solution of a structure by determining the displacements at its joints.
It obtains the solution of a structure by determining the redundant forces.
It obtains a better effect on asphalt absorption and stabilization than basalt fiber and polyester fiber.
It obtains the minimum OE and PFP value at C = 0.5.
It obtains a 0.3-dB improvement than SC decoding approximately for each simulated code rate.
It obtains optimal solutions for the non-affine nonlinear zero-sum game.
It obtains the smallest MAE in 7 out of the 13 tissues.
It obtains the consistency and the limiting distributions of maximum likelihood estimators of the underlying parameters in these models.
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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