Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Conventionally, liquefied biomethane (LBM) is produced through biogas upgrading ...

We consider, in the modern setting of high-dimensional statistics, the classic problem of optimizing the objective function in regression using M-estimates when the ...

Abstract: The optimal operation of complicated industrial processes is mainly reflected in the optimization of objective functions, such as product quality and energy consumption. The conventional use ...

Abstract: When solving constrained optimization problems by evolutionary algorithms, an important issue is how to balance constraints and objective function. This paper presents a new method to ...

Thank you for making LightGBM available. If I initialise the model with objective=custom_training_loss, the eval multiclass loss makes no progress during training. [1] eval's multi_logloss: 34.5388 [2 ...

This package offers an interface for objective functions in the context of (multi-objective) global optimization. It conveniently builds up on the S3 objects, i. e., an objective function is a S3 ...

The input argument fun refers to an IML module that specifies a function that returns f, a vector of length m for least-squares subroutines or a scalar for other optimization subroutines. The returned ...