(Original title: "Poor fit with absolute-error-like objective functions") I've looked more into the problem I described in this discussion post, and I think there are two underlying problems, one easy to solve or work around, and one not...
Robust optimization has been receiving increased attention in the recent few years due to the possibility of considering the problem of estimation error in the portfolio optimization problem. A question addressed so far by very few works is whether this approach is able to outperform traditional portf...
aSolving the multi-constraint and multi-objective optimization problem is known as multi-objective optimization problem. The mathematical model of multi-objective optimization problems can generally be described as: 解决多限制和多客观优化问题通认作为多客观优化问题。 多客观优化问题数学模型可能一般被描述如下...
(2)), where the CTF’s effective defocus is offset by the half-depth of the stack of slices. Fitting for this offset is key to inferring the depth of the sample. $$|{I}_{\det }({{{\boldsymbol{k}}})|\approx A\,{{{\rm{env}}}(k)\, |{{{\rm{CTF}}}({{{\boldsymbol{k...
1. 当一个population的mean=μ,标准差为σ,那么当其样本的size n足够大的时候,不论这个population是否正态分布, 则从中抽取的sample的sampling distribution of sample means接近正态分布---而且其mean= μ,方差为σ^2/n2. 样本要足够大! 样本均值符合正态分布...
Built upon an iterative process of resampling without replacement and out-of-sample prediction, the delete-d cross validation statistic CV() provides a rob... JH Kastens - 《统计学期刊(英文)》 被引量: 1发表: 2015年 Automatic quality control of the numerical accuracy of EEG lead fields The...
Out-of-sample prediction is the acid test of predictive models, yet an independent test dataset is often not available for assessment of the prediction error. For this reason, out-of-sample performance is commonly estimated using data splitting algorithms such as cross-validation or the bootstrap...
In the previous section, we used a part of training data to construct the nested sets and the remaining part to calibrate them for finite sample validity. This procedure, although computationally efficient, can be statistically inefficient due to the reduction of the sample size used for calibratin...
() method in the System.Net namespace. This check is essential when running an out-of-browser application that must communicate with Web services. If the network connection is down, the application can perform a workaround. Some workaround might include notifying the user of the problem or ...
Memory dumps have the advantage of decoupling the data collection phase from the actual problem investigation phase. Say you want to diagnose issues on a production server; it may be easier to analyze the dump offline using a different machine. ...