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A Localization Approach to Improve Iterative Proportional Scaling in Gaussian Graphical Models

机译：一种改进高斯图形模型迭代比例尺度的定位方法

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Hisayuki Hara; Akimichi Takemura;
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年度 2008
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1. A Localization Approach to Improve Iterative Proportional Scaling in Gaussian Graphical Models [J] . HISAYUKI HARA, AKIMICHI TAKEMURA Communications in statistics: theory and methods . 2010,第8a10期

机译：一种改进高斯图形模型中迭代比例缩放的本地化方法
2. A Localized Implementation of the Iterative Proportional Scaling Procedure for Gaussian Graphical Models [J] . Xu Ping-Feng, Guo Jianhua, Tang Man-Lai Journal of computational and graphical statistics: A joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America . 2015,第1期

机译：高斯图形模型的迭代比例缩放过程的本地化实现
3. An Improved Iterative Proportional Scaling Procedure for Gaussian Graphical Models [J] . Xu, PF, Guo, JH, He, XM Journal of computational and graphical statistics: A joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America . 2011,第2期

机译：高斯图形模型的一种改进的迭代比例缩放程序
4. An Improved Iterative Approach Based on Symmetric Normal Inverse Gaussian Model For Image restoration [C] . LI Yuan-jiang, LI Yue-hua International conference on computer and network technology . 2011

机译：基于对称正态逆高斯模型的图像迭代改进方法
5. Nonparametric localized Gaussian process models for accelerated meso-scale Monte Carlo simulation-based design and control of Carbon nanotube synthesis in chemical vapor deposition process. [D] . Cheng, Changqing. 2013

机译：非参数局部高斯过程模型，用于加速基于中观蒙特卡罗模拟的设计和化学气相沉积过程中碳纳米管合成的控制。
6. Iterative Reconstruction of High-Dimensional Gaussian Graphical Models Based on a New Method to Estimate Partial Correlations under Constraints [O] . Vincent Guillemot, Andreas Bender, Anne-Laure Boulesteix -1

机译：高维高斯图形模型的迭代重构：一种新的约束条件下部分相关估计方法
7. A Localization Approach to Improve Iterative Proportional Scaling in Gaussian Graphical Models [O] . Hara, Hisayuki, Takemura, Akimichi 2008

机译：一种改进迭代比例缩放的定位方法高斯图形模型

A Localization Approach to Improve Iterative Proportional Scaling in Gaussian Graphical Models

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