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在行政审查下,为巢桥功能提供替代-辅助定向学习
Surrogate-Assisted Targeted Learning for Nested Bridge Functionals under Administrative Censoring
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确定最低限度足够统计数据的方法
Methods for Identifying Minimal Sufficient Statistics
👁 478 📚 2
操作层 ARCH 模型
An operator-level ARCH Model
👁 460 📚 15
施托克特强盗政策的传播分析
A Diffusion Analysis of Policy Gradient for Stochastic Bandits
👁 272 📚 9
用于无监督的超光谱图像集群的不平衡优化运输词典学习
Unbalanced Optimal Transport Dictionary Learning for Unsupervised Hyperspectral Image Clustering
👁 69 📚 9
恰特吉和布莱斯特的等级关系
The exact region between Chatterjee's and Blest's rank correlations
👁 66 📚 45
尽可能减少渔业差异,为汉密尔顿人蒙特卡罗提供预设条件
Preconditioning Hamiltonian Monte Carlo by minimizing Fisher Divergence
👁 134 📚 21
在高效的高斯进程基础上建立大型数据集统计模型的理论和实践
Bridging Theory and Practice in Efficient Gaussian Process-Based Statistical Modeling for Large Data...
👁 347 📚 21
人工智能系统可靠性的计算高效学习
A Computationally Efficient Learning of Artificial Intelligence System Reliability Considering Error...
👁 378 📚 2
以充分敏感的方式模拟随机式应用方程式
A Full-Density Approach to Simulating Random Iteration Equations with Applications
👁 74 📚 5
在物理实验中采用计算机模型预测的序列贝叶斯实验设计
Sequential Bayesian Experimental Design for Prediction in Physical Experiments Informed by Computer ...
👁 41 📚 44
快速多任务高斯进程后退
Fast Multitask Gaussian Process Regression
👁 461 📚 39
回归中的遗传算法
Genetic Algorithms in Regression
👁 368 📚 17
通用β-Prime分布和一些特殊案例的连续分数概率
The Continuous Rank Probability Score of a Generalized Beta-Prime Distribution and Some Special Case...
👁 117 📚 5
平衡 Forman 和 Ollivier- Ricci 曲线之间的边缘包围
Edgewise Envelopes Between Balanced Forman and Ollivier-Ricci Curvature
👁 178 📚 27
双时标:双时标平滑危害的R-包
TwoTimeScales: An R-package for Smoothing Hazards with Two Time Scales
👁 126 📚 28
适应性条件森林取样,在决定-不确定性下优化光谱风险
Adaptive Conditional Forest Sampling for Spectral Risk Optimisation under Decision-Dependent Uncerta...
👁 432 📚 29
通过迭代近似物进行取样:通过运输进行渐变的无多功能贝叶斯推断
Sampling through iterated approximation: Gradient-free and multi-fidelity Bayesian inference via tra...
👁 239 📚 48
可靠地学习历史-相互依存的组织法的最佳实验设计
Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws
👁 261 📚 16
为数据整合解释(ProJIVE)的概率联合和个人变化
Probabilistic Joint and Individual Variation Explained (ProJIVE) for Data Integration
👁 450 📚 30
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