Sentence examples for regularisation values from inspiring English sources

The multi-level reconstruction of CSCG removes the need to empirically select regularisation values whilst still providing good quality reconstructions, which makes the reconstruction process more objective.

The regularisation value was chosen to minimise regularisation whilst reducing artifacts at all noise levels.

The spectra for models with different regularisation parameter values (d=1,10,100) are presented.

Results show that a reasonable inference of recharge (average recharge error <10%) requires a surprisingly large number of preferred value regularisation constraints (>100 K values across the 129 km2 study area).

Also called as regularisation parameter usually takes values from 0.01−0.3 in XGBoost.

The studied cases suggest a general trend towards passive approaches and a sharpening and regularisation of the public value capture instruments embedded in them.

The power spectrum of our model is shown in Fig. 3 for few values of the regularisation parameter, together with the EMM2015 model (https://www.ngdc.noaa.gov/geomag/EMM).

By plotting the coefficient associated with each probe-set against a range of λ values so called regularisations curves are obtained.

The final value chosen for the regularisation parameter is d=5.

The default model parameters were used as they have performed well in other studies (a convergent threshold of 10−5, maximum iteration value of 500 and a regularisation multiplier of 1, [33]).

This method provides better prediction and coefficient estimates closer to the true values, than traditional stepwise regression approaches, which impose no regularisation.