Sentence examples for sparse fit from inspiring English sources

While ridge regression (L2 regularization term) [ 17] uses all input variables to fit the model, the least absolute shrinkage and selection operator (LASSO, L1 regularization term) [ 18] attempts to find the most optimal sparse fit.

Although Englund said that Tranströmer's production had been "sparse – you could fit it into a not too large pocket book, all of it" – he praised the poet's "exquisite" language.

For example, one can choose a model to maximize its consistence with the experimental data or to optimize some design principles of biological networks, such as making the network sparse to better fit the limited biological data.

A larger value of λ leads to a sparse regression that fits the data less well and a smaller λ leads to regression that fits the data well but is less sparse.

Algorithms for fitting sparse range point clouds to geometric primitives such as spheres, cylinders, and cuboids have been developed as well as methods for merging primitives into assemblies.

Therefore, fitting sparse models with only a few nonzero coefficients is interesting [ 20].

Therefore, fitting sparse models is substantial because only a small number of influential genes can reliably be identified.

This pattern of sparse promoter methylation fits with a recently proposed 'seeding' two-step mechanism leading up to gene inactivation in cancer cells.

Additionally, it was unclear if the one‐compartment model was the best descriptor of darbepoetin alfa PK in neonates or whether the data were too sparse and precluded fitting a more appropriate two‐compartment model.

Although Englund said that Transtromer's production has been "sparse" - "you could fit it into a not too large pocket book, all of it" - the permanent secretary praised his "exquisite" language.

We now fit this sparse model to the full data without the L1 penalty (a process called "debiasing" [ 25]), since L1 regularization is biased towards too small weights.