助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   probabilistic reasoning model 的翻译结果: 查询用时:0.007秒
图标索引 在分类学科中查询
所有学科
计算机软件及计算机应用
更多类别查询

图标索引 历史查询
 

probabilistic reasoning model
相关语句
  概率推理模型
     Boosting Probabilistic Reasoning Model for Face Recognition
     加强概率推理模型在人脸识别中的应用
短句来源
     In this paper, two new algorithms are proposed, called B-JD-LDA (Boosting on JD-LDA), B-PRM (Boosting on Probabilistic Reasoning Model). Experiments on the FERET and ORL database demonstrate that both algorithms get higher CRR than original algorithms.
     我们在FERET和ORL数据库上做了大量的实验来验证Boosting算法的性能,加强型的LDA算法比原始的LDA算法的识别率提高了3.0个百分点,加强型的概率推理模型概率推理模型的识别率提高了1.8个百分点,实验结果表明Boosting算法很大程度上提高了人脸识别率。
短句来源
     In this paper, the basic principles and influencing factors in the welding groove selection and design of pressure vessels are analyzed. Based on the subjective Bayes method, a total probabilistic reasoning model for approximate reasoning is presented. The welding base metal database, welding materials database and welding technology database are built, and the computer aided reasoning system of groove selection and design is realized.
     分析了压力容器焊接坡口设计的基本原则和影响因素 ,从主观贝叶斯方法基础上得到焊接坡口选择的不精确推理的全概率推理模型 ,建立焊接母材库、焊材库和工艺库 ,实现了计算机辅助焊接坡口选择的推定系统。
短句来源
     This paper proposes a new algorithm to boost performance of probabilistic reasoning model(PRM) face recognition methods.
     该文就是基于这个思想提出了新的人脸识别算法,即加强概率推理模型
短句来源
     Finally,it combines all these sub-classifiers to form a very strong class ifier experimental result indicates that the proposed methodology enhances performance of the probabilistic reasoning model with an average improvement of correct recognition rate(CRR) up to 1.8%.
     试验结果表明算法的识别率比原来的概率推理模型的识别率提高了1.8%。
短句来源
  相似匹配句对
     Causality Diagram is a probabilistic reasoning method.
     因果图理论是一种基于概率论的推理方法。
短句来源
     Boosting Probabilistic Reasoning Model for Face Recognition
     加强概率推理模型在人脸识别中的应用
短句来源
     It shows another approach to study inductive and probabilistic reasoning.
     δ推理算子的提出,提供了一条新的研究归纳逻辑和概率逻辑的方法。
短句来源
     Reasoning and explanation.
     诊断推理与解释。
短句来源
     Defeasible reasoning
     可作废推理
短句来源
查询“probabilistic reasoning model”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
没有找到相关例句


In this paper, the basic principles and influencing factors in the welding groove selection and design of pressure vessels are analyzed. Based on the subjective Bayes method, a total probabilistic reasoning model for approximate reasoning is presented. The welding base metal database, welding materials database and welding technology database are built, and the computer aided reasoning system of groove selection and design is realized. The practicality and rationality of the reasoning...

In this paper, the basic principles and influencing factors in the welding groove selection and design of pressure vessels are analyzed. Based on the subjective Bayes method, a total probabilistic reasoning model for approximate reasoning is presented. The welding base metal database, welding materials database and welding technology database are built, and the computer aided reasoning system of groove selection and design is realized. The practicality and rationality of the reasoning system are verified through a concrete example. The system can be used to computer aided selecting and designing of welding groove during pressure vessel manufacture.

分析了压力容器焊接坡口设计的基本原则和影响因素 ,从主观贝叶斯方法基础上得到焊接坡口选择的不精确推理的全概率推理模型 ,建立焊接母材库、焊材库和工艺库 ,实现了计算机辅助焊接坡口选择的推定系统。通过具体实例验证推定系统的实用性及合理性 ,并运用到压力容器生产的焊接坡口的计算机辅助选择与设计中。

The Dynamic Causality Diagram methodology is a new probabilistic reasoning model based on Belief Network. To some extent, it is similar to the Belief Network in structure. So that knowledge from one can be transformed into the other on some conditions. To begin with, this paper discusses the similarities and differences between them, and finally presents a transformation algorithm from Dynamic Causality Diagram into Belief Network. The algorithm is composed of two parts: a mapping algorithm of structure...

The Dynamic Causality Diagram methodology is a new probabilistic reasoning model based on Belief Network. To some extent, it is similar to the Belief Network in structure. So that knowledge from one can be transformed into the other on some conditions. To begin with, this paper discusses the similarities and differences between them, and finally presents a transformation algorithm from Dynamic Causality Diagram into Belief Network. The algorithm is composed of two parts: a mapping algorithm of structure and a generating algorithm of conditional probability tables.

动态因果图理论是在信度网基础上发展起来的一种不确定推理模型,两者在知识表达上存在一定的差别,但大体结构类似,在一定的条件下可以进行相互转换。从分析信度网与因果图的知识表达方式的异同入手,最后推导出一种将因果图模型转换为信度网模型的算法,主要从构成信度网模型的两大要素———拓朴结构和条件概率表两方面的生成算法进行了推导和阐述。

In a wide range of applications,the combination of classifiers leads to substantial reduction of misclassification error.This paper proposes a new algorithm to boost performance of probabilistic reasoning model(PRM) face recognition methods.In this algorithm,it divides the classification task into some sub-classifiers,each sub-classifier concentrates on some labels that are hardest to discriminate.Finally,it combines all these sub-classifiers to form a very strong class ifier experimental result indicates...

In a wide range of applications,the combination of classifiers leads to substantial reduction of misclassification error.This paper proposes a new algorithm to boost performance of probabilistic reasoning model(PRM) face recognition methods.In this algorithm,it divides the classification task into some sub-classifiers,each sub-classifier concentrates on some labels that are hardest to discriminate.Finally,it combines all these sub-classifiers to form a very strong class ifier experimental result indicates that the proposed methodology enhances performance of the probabilistic reasoning model with an average improvement of correct recognition rate(CRR) up to 1.8%.

在很多应用中,组合使用多个分类器可以降低分类错误率。该文就是基于这个思想提出了新的人脸识别算法,即加强概率推理模型。在该算法中,将分类任务划分成多个子分类器,每个子分类器集中于一些难分类的样本,然后组合这些子分类器形成一个强的分类器。试验结果表明算法的识别率比原来的概率推理模型的识别率提高了1.8%。

 
<< 更多相关文摘    
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关probabilistic reasoning model的内容
在知识搜索中查有关probabilistic reasoning model的内容
在数字搜索中查有关probabilistic reasoning model的内容
在概念知识元中查有关probabilistic reasoning model的内容
在学术趋势中查有关probabilistic reasoning model的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社