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Minimax Generalized Cross-Entropy
👁 93 📚 6
可解释的集群分析:包装方法
Explainable cluster analysis: a bagging approach
👁 183 📚 47
双时尺度学习动态:神经网络培训的人口观点
Two-Time-Scale Learning Dynamics: A Population View of Neural Network Training
👁 512 📚 27
预测性差异
Uncertainty Quantification Via the Posterior Predictive Variance
👁 161 📚 22
通过 Coreset 对多变量分布的可缩放学习
Scalable Learning of Multivariate Distributions via Coresets
👁 214 📚 41
解决贝克曼参数优化运输的规律性
Regularity of Solutions to Beckmann's Parametric Optimal Transport
👁 316 📚 27
有限上下文模型中超参数选择的双步相继方法
A two-step sequential approach for hyperparameter selection in finite context models
👁 455 📚 9
多维高斯混合模型的模型选择和参数估计
Model Selection and Parameter Estimation of Multi-dimensional Gaussian Mixture Model
👁 74 📚 49
Stochastic Approximation中的重发和长程依赖噪声: 有限时间分析
Heavy-Tailed and Long-Range Dependent Noise in Stochastic Approximation: A Finite-Time Analysis
👁 118 📚 12
测试板球的增强分级系统:改造克力克的模型
An Augmented Rating System for Test cricket: adapting Glicko's model
👁 55 📚 18
CCMnet: 网络生成软件包, 带有相干类模型
CCMnet: A Software Package for Network Generation with Congruence Class Models
👁 484 📚 32
利用优势提高Bayesian模式的无U-Turn采样效率
Leveraging Sparsity to Improve No-U-Turn Sampling Efficiency for Hierarchical Bayesian Models
👁 284 📚 6
与失踪的创始人建立因果关系神经网络
Stochastic Neural Networks for Causal Inference with Missing Confounders
👁 215 📚 22
延长高维度投入的学习时间
Scaling of learning time for high dimensional inputs
👁 389 📚 34
恢复-成型预测战略加强
Recovery-Informed Forecasting Strategy Enhancement
👁 400 📚 26
CliPS - 密码 如何确定贝叶斯混合物模型中的集群分布
CliPS -- How to identify cluster distributions in Bayesian mixture models
👁 384 📚 50
非固定时间系列趋势在线靴子推论
Online Bootstrap Inference for the Trend of Nonstationary Time Series
👁 521 📚 26
R 用于最大顺序统计的固定和非固定模式的自动选择
Automated selection of r for stationary and nonstationary models for r largest order statistics
👁 50 📚 13
朝向齐全概率设计
Towards Tsallis Fully Probabilistic Design
👁 480 📚 17
高弹性双向ANOVA测试效率测试
Efficient Tests for Testing in Two-way ANOVA under Heteroscedasticity
👁 414 📚 40
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