| 11. | Typical algorithm is Balanced k-Means, which minimizes mean square error ( MSE ).
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| 12. | Root mean square error is simply the square root of mean squared error.
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| 13. | The most common cost function is the mean square of the error signal.
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| 14. | In effect, it is the mean squared error of the forecast.
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| 15. | This is called the mean square error ( MSE ) of the regression.
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| 16. | V 2 is the mean square canonical correlation between the variables.
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| 17. | In the end the FIC selects the model with smallest estimated mean squared error.
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| 18. | Einstein derived expressions for the mean squared displacement of particles.
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| 19. | However, a terminological difference arises in the expression mean squared error ( MSE ).
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| 20. | Then the "'mean squared error "'of the corresponding estimation is
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