ceded loss functionpremium principleexpectile principlequantile principleleft-continuous inverse functionright-continuous inverse functionIn this paper, we propose new reinsurance premium principles that minimize the expected weighted loss functions and balance the trade-off between the reinsurer's shortfall ...
The weights of the losses due to mean shift and variance shift in the loss function are balanced through a weighting factor lambda, so that the WL chart is considerably more effective than the unadjusted loss function chart, the joint xlowbar &S charts and many other charts as well. The ...
How to create a custom weighted loss function... Learn more about weighted, loss, function, regression, neural, network MATLAB
def weighted_loss(loss_func: Callable) -> Callable: """Create a weighted version of a given loss function. To use this decorator, the loss function must have the signature like `loss_func(pred, target, **kwargs)`. The function only needs to compute element-wise loss without any reductio...
PredictorModelswithWeightedLossFunction YINWei YANWei MIAOBai—qi (DepartmentofStatisticsandFinance,USTC,AnhuiHefei230026,China) Abstract:Thegenenralizedexponentialpredictormodelsforexchangerateforecastingbasedon weightedlossfunctionisproposed.Thismethodconstructsomeexponentialpredictorsthroughdifer— entsmoothingparameters...
The implementation of the full weighted loss function L full-weighted , as well as other baseline loss functions, can be found in the losses.py file. Installation pip install -r requirements.txt Training a model with the full weighted loss function python train_model.py --region SWI How to...
基于加权损失函数下广义指数预报因子模型的汇率预测 Foreign Exchange Rates Prediction Based on Generalized Exponential Predictor Models with Weighted Loss Function41阅读 文档大小:333.67K 6页 ipohbvfd上传于2015-06-01 格式:PDF 因子模型视角下的指数基金绩效 热度: Exponential function vs Power function:指数...
general weighted balanced loss function (WBLF henceforth) introduced here as L2(a,x)=wh(x)(δ0(x)−a)2+(1−w)h(x)(x−a)2, where 0≤w≤1 is a weighting factor determined by the practitioner, h(x) is a positive weight function and δ0(x) is a function of the observed ...
Last, a random-weighted loss function is attached to calculate the combined task loss so that different COVID-19 tasks can be trained simultaneously by using weighted total loss as guidance. Key modules of COVID-MTL will be disclosed in Sections 4.1 –4.3. 4.1. Unsupervised lung segmentation ...
[2] in binary classification problems. The principal reason for us to use Weighted and Focal Loss functions is to address the problem of label-imbalanced data. The original XGBoost program provides a convenient way to customize the loss function, but one needs to compute the first and second ...