Sentence examples for minimizing a loss from inspiring English sources

For most regression problems, the optimal regression model can be obtained by minimizing a loss function, and the selection of loss functions has great effect on the performance of the derived regression model.

This is achieved by minimizing a loss function (see section Loss function).

From a decision theoretic perspective, the model selection problem can be cast in terms of minimizing a loss function appropriate to the decision problem at hand.

The criterion to select a SNP and its split point is to achieve the best increase in homogeneity in the daughter nodes by minimizing a loss function.

The main algorithm focuses on minimizing a loss function, which measures the difference between the distances in the high-dimensional space and the low-dimensional space.

We study a novel contribution game in which a border country and a central country minimize a loss function with respect to their national immigration target.

The Gradient Tree Boosting classifier is robust to overfitting because it grows trees sequentially by adjusting the weight of the training data distribution to minimize a loss function.

In order to minimize a loss in value in MOR and MOE, the use pf polyethylene in extruded panels with large-sized hardwood fibres under low content is recommended.

First a regression tree model is fitted to a subset of data to minimize a loss function (in our case the deviance), which quantifies the loss in predictive performance due to a suboptimal model.

Alternatively, starting from y = g + e, one can minimize a loss function with form ℓ (g | λ ) = ‖ y − g ‖ 2 + λ ‖ g ‖ ℋ 2, (6 where λ is a regularization parameter and ‖ g ‖ ℋ 2 is the squared norm of g under a Hilbert space ℋ.

However, in theory LOR directly aims at minimizing a ranking loss function rather than a classification or regression loss, thus inherently suitable for VS and integration of cross-platform data.