具体可见你看那只小猫咪：机器学习中的Bias-Variance Trade Off
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learningarxiv.org/abs/2105.05883 1.Intro 作者认为目前的采样方法都是无偏的,或者在训练稳定性与通信轮之间不够理想,故作者提出Clustered sampling.(聚类采样) FedAvg和MD是目前认为的保持最少通讯轮的两种方法. ...
B. (1976) Low-variance stimulus-response latencies: Deterministic internal delays?. Perception & Psychophysics 20: pp. 89-100Kristofferson, M. B. Low-variance stimulus-response latencies: Deterministic internal delays? Perception & Psychophysics , 1976, 20 , 89–100....
Fraboni, Yann, et al. "Clustered sampling: Low-variance and improved representativity for clients selection in federated learning." International Conference on Machine Learning. PMLR, 2021.CCF-A(PMLR'21) 本论文针对联邦学习之中的客户选择部分提出了优化算法。以聚类抽样的方法在不增加原本的各种...
Abstract The low-variance direct simulation Monte Carlo (LVDSMC) is a powerful method to simulate low-speed rarefied gas flows. However, in the near-continuum flow regime, due to limitations on the time step and spatial cell size, it takes plenty of time to find the steady-state solution....
random-forest feature-extraction dimensionality-reduction representation-learning principal-component-analysis linear-discriminant-analysis singular-value-decomposition low-variance-filter high-correlation-filter Updated Jun 17, 2021 Jupyter Notebook khushi-411 / fashion-mnist Star 0 Code Issues Pull request...
The current work proposed the low-variance version of the RCC and form factor indexes to remedy this gap. As just estimating the first-order moment, the proposed indicators fluctuate less than their original version at the machine's normal stage. This work also illustrates an intrinsic connection...
Finally, if u drops between LOW BORDER and T OP BORDER, the operation mode (AD or AU) is chosen randomly. A Low-Variance Random-Walk Procedure to Provide Anonymity 243 down 1e LOW BORDER random up TOP BORDER M−e M Fig. 3. Parameters of the algorithm The parameters LOW BORDER and ...
The post 1983 economy can be described as a low-variance, high-risk economy, with skewness -1.1 and kurtosis 6.6. A Markov-switching model which splits the sample captures the new moment structure, enabling economists to model both the asymmetry and probability of large shocks in GDP growth....
方差过滤: Removing features with low variance 方差特征选择的原理与使用 VarianceThreshold 是特征选择的一个简单基本方法,其原理在于–底方差的特征的预测效果往往不好。而VarianceThreshold会移除所有那些方差不满足一些阈值的特征。默认情况下,它将会移除所有的零方差特征,即那些在所有的样本上的取值均不变的特征。