SAMPLE SELECTION BASED ON MINIMUM LIKELIHOOD RATIO

机译：基于最小似然比的样本选择

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摘要

Training data have important effect on recognition system performance.This paper proposes an algorithm of sample selection based on Minimum Likelihood Ratio (MLR) which obtaining boundary samples for training.The experiment results show that this method is effective in improving performance of the recognition system.

机译：训练数据对识别系统的性能有重要影响。本文提出了一种基于最小似然比（MLR）的样本选择算法，该算法可以得到边界样本进行训练。实验结果表明，该方法对提高识别系统的性能是有效的。

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来源
《Proceedings of the 2007 International Conference on Machine Learning and Cybernetics》|2007年|P.1-5|共5页
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GANG LIU; YU-JING CUI; HONG-GANG ZHANG; JUN GUO;
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中图分类计算技术、计算机技术;
关键词
Likelihood ratio; MLR; Boundary samples; Samples selection;

机译：似然比; MLR;边界样本;样本选择;
入库时间 2022-08-26 14:56:19

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1. Likelihood ratio order of sample minimum from heterogeneous Weibull random variables [J] . Li Chen, Li Xiaohu Statistics & Probability Letters . 2015,第Null期

机译：来自异类威布尔随机变量的样本最小值的似然比顺序
2. Some Likelihood Based Properties in Large Samples: Utility and Risk Aversion, Second Order Prior Selection and Posterior Density Stability [J] . Michael Brimacombe Open Journal of Statistics . 2016,第6期

机译：大样本中一些基于似然性的属性：效用和风险规避，二阶先验选择和后验密度稳定性
3. Copula-based maximum-likelihood estimation of sample-selection models [J] . Takuya Hasebe The stata journal . 2013,第3期

机译：基于Copula的样本选择模型的最大似然估计
4. SAMPLE SELECTION BASED ON MINIMUM LIKELIHOOD RATIO [C] . GANG LIU, YU-JING CUI, HONG-GANG ZHANG, International Conference on Machine Learning and Cybernetics . 2007

机译：样品选择基于最小似然比
5. Comparison of Bandwidth Selection Methods in Two-Sample Problem With Likelihood Ratio Ordering [D] . Liping, Loraine Seng 2018

机译：似然比排序两样本问题中带宽选择方法的比较
6. Two-sample density-based empirical likelihood ratio tests based on paired data with application to a treatment study of attention-de cit/hyperactivity disorder and severe mood dysregulation [O] . Albert Vexler, Wan-Min Tsai, Gregory Gurevich, -1

机译：基于双样本的基于密度的经验似然比基于配对数据应用于注意力研究的治疗研究和严重情绪障碍的研究
7. Sample Empirical Likelihood and the Design-based Oracle Variable Selection Theory [O] . Puying Zhao, David Haziza, Changbao Wu 2022

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SAMPLE SELECTION BASED ON MINIMUM LIKELIHOOD RATIO

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