Sentence examples for penalization for from inspiring English sources

Solving this optimization problem requires the selection of an additional hyperparameter, η, that controls the amount of penalization: for large η we penalize strongly and for η = 0 we recover the maximum likelihood unregularized solution (Figure 1B).

Therefore we modify Equation 1 by adding a penalization for small disparities (which translates into large depths).

In the first set of experiments, we have to set the value of parameter γ of Equation 2, which defines the penalization for small disparity (i.e., background) blocks.

where is the handoff failure probability and the new call blocking probability, while is a weight parameter to represent the penalization for dropping a handoff call relative to blocking a new call.

To avoid player's penalization for being the first one to introduce a specific tag, that later is validated and scored by other players, an offline system is implemented to compensate the firsts effective contributors when the conditions for score attribution are reached, an additional bonus (200 points) is even considered for the players who had antedated useful metadata.

We did not use any penalization for multiple testing procedures.

The penalization component for BIC and MDL are global, whereas for MIT it is specific for each variable and its parents.

Moreover, it also introduced changes to the penalization coefficient for early retirement and a premium for late retirement was introduced (2 % per additional year beyond 35 years of contributions or qualifying years).

Overfitting, optimism, and miscalibration may also be addressed and accounted for during the model development by applying shrinkage (for example, heuristic or based on bootstrapping techniques) or penalization procedures (for example, ridge regression or lasso).

The P-value cut off for the FSTEP and ATT (which do not require specification of a penalization parameter) for this comparison was set at 10−5, which similarly produced a false-positive rate of the correct order of magnitude.

This is achieved by carefully defining different penalization schemes for different components of the merit function.