损失函数(loss function也叫作cost function)是用来估量你模型的预测值f(x)与真实值Y的不一致程度,它是一个非负实值函数,通常使用L(Y, f(x))来表示,损失函数越小,模型的鲁棒性就越好。损失函数是经验风险函数的核心部分,也是结构风险函数重要组成部分。模型的结构风险函数包括了经验风险项和正则项,通常可以表示...
a他很抱歉今晚不能去拜访你了 He was sorry very much the tonight could not visit you [translate] a我随意 I at will [translate] aWhere C is penalty factors, ε is loss function parameter. 那里C是惩罚因素, ε是损失函数参量。 [translate] ...
When forecasts are assessed by a general loss (cost-of-error) function, the optimal point forecast is, in general, not the conditional mean, and depends on... T Alp,M Demetrescu - 《Computational Statistics & Data Analysis》 被引量: 41发表: 2010年 Bayesian Estimation of Two-Parameter Wei...
to inform the application program that a session has been deactivated. The ATTN(LOSS) exit is driven every time a session is deactivated or only when the last session of a mode name group is deactivated, depending on the ATNLOSS parameter on the application program's APPL definition statement...
PAAPLoss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement https://github.com/muqiaoy/PAAP/tree/03c6d823a44e782a86699904d4dbf81ec294520e References: Universal Sound Separation Leo6:音频质量客观评价指标 Taylor:模型训练——Loss函数 ...
For a model with ny-outputs, the loss function V(θ) has the following general form: V(θ)= 1NN∑t=1eT(t,θ) W(θ) e(t,θ) where: N is the number of data samples. e(t,θ) is ny-by-1 error vector at a given time t, parameterized by the parameter vector θ. W(θ) ...
In most cases, the loss function shows the distance between the alternative and the parameter. Therefore, any distance can lead to a loss function. Among the best known distance functions is L p one, where the choice of value p may be difficult and arbitrary. This paper examines robust ...
sex and PC1-4 were included as covariates. Conditional analysis was performed with the same analysis tools and command line options as the association analysis by adding the lead-SNP(s) in a step-wise manner as covariate(s) into the SAIGE step1 parameter estimation until the variant with sma...
On the use of loss functions in the changepoint problem We consider a sequence of independent random variables whose densities depend on a parameter which is subject to a change at an unknown time point. A Bayes... Irwin,GuttmanUlrich,Menzefricke - 《Annals of the Institute of Statistical Ma...
Improved Parameter Computation Method Applications of Storage Function Model for the Han River Basin The parameters of each basin, required for the accurate analysis of flood runoff using Storage Function Model, are estimated. Prior to the estimation, sensitivity analysis and extraction of new regional...