The performance of the functional linear regression model depends on the number of principal components used. We therefore introduce a consistent robust model selection procedure to choose the number of principal components. Our robust functional linear regression model can be used alongside an outlier ...
The performance of the functional linear regression model depends on the number of principal components used. We therefore introduce a consistent robust model selection procedure to choose the number of principal components. Our robust functional linear regression model can be used alongside an outlier ...
在[-1,1]之间实际上就是L2损失,这样解决了L1的不光滑问题,在[-1,1]区间外,实际就是L1损失, 对离群点、异常值outlier不敏感,这样就解决了离群点梯度爆炸的问题。整体梯度变化相对更小,训练时不容易跑飞。 Smooth L1 loss和HuberLoss很相似,相当于huber(x, y) / beta。 接口:SmoothL1Loss - PyTorch 2.0...
Anguelov D, Erhan D, et al. Ssd: Single shot multibox detector[C]//European conference on com...
Both the simulated data and Botswana meat sales data confirms the efficacy of using the pooled correlation co-efficients in influence function matrix as outlier detection device.doi:http://dx.doi.org/S.R.T. MoengP.M. KgosiD.K. Shangodoyin...
In the present study, a criterion is appropriate for distance estimation that is not sensitive to outlier data or bursts in workload. Therefore, the KLD criterion has been used which yields better performance, compared to other distance evaluation criteria (Horne and Garton, 2006). We determine ...
MATLAB Online에서 열기 I'm working on this question functionequation y = 0; list = (-5:30) forx = list ifx => 9 y = 15*sqrt(4x)+10; if-5<= x <= 30 y = 10*x + 10 end ifx<0 y = 10; end I wrote this function but I think its not true. Please help me. ...
If you divide your data into quarters, each of those sets is called a quartile. The lowest 25% of numbers in the range make up the 1st quartile, the next 25% the 2nd quartile, and so on. We take this step first because the most widely-used definition of an outlier is a data point...
1A–D). The average total age-related change (max-min of GAM/GAMM fits) was large based on conventional effect size standards (mean across all measures from all datasets in standard deviation [z] units: 1.38; Fig. 1A–D). Overlapping visualization of all measures with significant age-...
Acquisition of new skills has the potential to disturb existing network function. To directly assess whether previously acquired cortical function is altered during learning, mice were trained in an abstract task in which selected activity patterns were