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Exact(54)
This is achieved by penalizing the sum of squared errors by the integral of the squared derivative of f, at a rate determined by a smoothing parameter, λ [ 18].
Each hidden unit leads to the maximal reduction of the sum of squared errors.
These latter minimize predefined figures of merit relying on the sum of squared errors.
It minimizes the sum of the absolute values of the coefficients, with a bound on the sum of squared errors.
But due to the large number of student and course fixed effects, it is necessary to iterate, with each iteration lowering the sum of squared errors.
On the other hand, some variants of LASSO algorithm have been developed to deal with the noisy signals by minimizing the usual sum of squared errors.
Similar(6)
The addition of rolling horizon optimization gives significant reductions to the sum-of-squared-errors between the demand and supply profiles.
Model parameter estimates were obtained (using the fmincon function in MATLAB) by minimizing the sum-of-squared-errors objective function.
This objective function is called sum-of-squared errors (SSE), which corresponds to minimizing within-cluster variances.
From the N sets of solution, the one with the lowest weighted residual sum-of-squared errors is chosen.
The magnitude of each component of the gradient of the normalised sum-of-squared errors (GNSSE) is smaller than a pre-specified value (nominally 10−3).
More suggestions(15)
sum of squared weights
sum of squared logarithms
sum of square errors
sum of absolute errors
sum of normalised errors
sum of residual errors
sum of squared residuals
sum of individual errors
sum of squared data
sum of squared residues
sum of squared elements
sum of squared differences
sum of geographical errors
sum of squared velocities
sum of squared prevalences
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com