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bayesian learning
相关语句
  贝叶斯学习
     Bayesian Learning Theory represents uncertainty with probability and learning and inference are realized by probabilistic rules.
     贝叶斯学习理论使用概率去表示所有形式的不确定性,通过概率规则来实现学习和推理过程。
短句来源
     Chapter four is "Static and Dynamic Bayesian Learning".
     第四章是探讨静态信息和动态信息的贝叶斯学习
短句来源
     Video Image Segmentation Based on Bayesian Learning
     基于贝叶斯学习的视频图像分割(英文)
短句来源
     Combining sparse Bayesian learning with the principle of the support vector tracking(SVT),the relevance vector tracking (RVT) is presented.
     结合稀疏贝叶斯学习方法和支持向量跟踪(SVT)原理,提出了相关向量跟踪(RVT)。
短句来源
     Research on Bayesian Learning Theory and Its Application
     贝叶斯学习理论及其应用研究
短句来源
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  bayesian学习
     A SEMANTIC DESCRIPTION MODEL OF LUNG CANCER CHROMATIC IMAGES BASED ON BAYESIAN LEARNING
     一种基于Bayesian学习的彩色肺癌图像语义描述模型
短句来源
     A Negotiation Model Based on Bayesian Learning
     一个基于Bayesian学习的协商模型
短句来源
     This paper introduces a negotiation model based on Bayesian learning, called NMBL. Agent gets information of the negotiation opponents in every iteration by means of Bayesian learning, updates the pri- or knowledge of the negotiation opponents and then brings forward the offer of the next iteration according to negotia- tion strategies based on the conflicting point and un-compromising degree.
     本文提出了一个基于Bayesian学习的协商模型NMBL:在每一轮协商中,Agent通过Bayesian学习获取协商对手的信息,更新对协商对手的信念,然后根据基于冲突点和不妥协度的协商策略提出下一轮的协商提议。
短句来源
  “bayesian learning”译为未确定词的双语例句
     Based on the experimental study of an intelligent metal tube variable area rotameter and by the means of BP neural network to create mathematics model,this paper describes a successful combination of the Levenberg Marquardt algorithm & the Bayesian learning so as to obtain an effective algorithm in the speed of convergence,generalization capability and precision.
     基于智能金属管浮子流量计的实验研究 ,本文通过 BP网络建立数学模型 ,将 L M算法及 BR算法有机结合 ,最终获得了在收敛速度、泛化能力和精度上均达到实用要求的新型浮子位置信息检测的有效算法。
短句来源
     Aiming at the important issue of modular neural network(MNN)— the dynamic integration of the sub-nets,a novel integrated algorithm based on the improved Bayesian learning is presented.
     针对模块化神经网络的重要命题——子网动态集成问题,提出一种基于改进的Bayes学习的子网集结新方法.
短句来源
     In accordance with the characteristics of the mass spectrum database,many KDD algorithms,such as the property-oriented inductive algorithm,Multi_AdaBoost algorithm based on Boosting Native Bayesian Learning as well as statistical ways are adopted during the data pre-treating process,and the results make it possible for us to have a better understanding of the mass spectrum database,so lay a good foundation for constructing knowledge base of intellectual resolution process of mass spectrum.
     针对谱图数据库的特性,在利用数据库知识发现(KDD)技术对谱图数据库进行数据预处理过程中,利用面向属性的归纳法对数据属性间的相关性进行分析,Multi_AdaBoost算法进行聚类分析和统计方法对Beynon表进行审核等方面进行了研究,这样,对质谱库有了更进一步的认识,为构建质谱智能解析系统的知识库和质谱解析的智能化打下了良好的基础。
短句来源
     Naive Bayes Classifier based on bayesian Learning theory and maximum a posteriori probablty hypotheses, which is welcomed as its simplicity.
     朴素贝叶斯分类技术是以贝叶斯定理、最大后验假设等理论为基础,其分类模型由于简单、易于实现而受到普遍青睐。
短句来源
     MCMC can be used to explore the posterior probability produced by the Bayesian learning method.
     当使用Bayes方法学习Bayes网络模型的结构和参数时,使用MCMC方法对后验分布进行抽样研究是非常方便的,它不需要此概率分布是归一化的,而计算归一化常数往往是困难的。
短句来源
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  bayesian learning
A system-based decision logic predicated on subjective and objective probabilities is developed incorporating the Bayesian learning process.
      
Besides allowing for exact Bayesian learning, these results permit us to formulate a new class of tractable latent variable models in which the likelihood of a data point is computed through an ensemble average over tree structures.
      
Tractable Bayesian learning of tree belief networks
      
This paper uses a Bayesian learning model to assess the respective influence of different risk measurements on mortality risk perceptions.
      
Also, the results suggest that the determinants of risk perception are consistent with the predictions of a Bayesian learning framework.
      
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This research addressed an urban traffic intelligent control system,which adopts a multi agents coordination in urban traffic control to coordinate the signal of adjacent intersections for eliminating the congestion of traffic network.An agent represents a signal intersection control,and multi agents realize coordination of multiple intersections to eliminate congestion.Based on Recursive Modeling Method and Bayesian learning that enables an agent to select his rational action by examining with other...

This research addressed an urban traffic intelligent control system,which adopts a multi agents coordination in urban traffic control to coordinate the signal of adjacent intersections for eliminating the congestion of traffic network.An agent represents a signal intersection control,and multi agents realize coordination of multiple intersections to eliminate congestion.Based on Recursive Modeling Method and Bayesian learning that enables an agent to select his rational action by examining with other agents by modeling their decision making in conjunction with dynamic belief update.Based on this method,a simplified multi agent traffic control system is established and the results demonstrate its effectiveness.It is very important for ITS.

本文中提出一种城市交通智能控制系统 ,针对城市交通网络中相邻交叉口的交通流可能相互冲突 ,即局部交通流的优化可能引起其他区域交通状况的恶化的问题 ,采用多智能体协调控制方法来协调相邻交叉口处的控制信号消除网络中的交通拥塞 .提出以一个智能体的方式实现一个信号灯交叉口控制 ,对多个信号灯交叉口形成的交通网络采用多智能体协调控制的方式实现网络流量优化来消除拥塞 .文中提出由递归建模和改进的贝叶斯学习相结合的多智能体系统来使智能体可以确定其他智能体的准确模型并实时更新信息 ,并基于上述方法在简单的交通网络模型上建立了多智能体交通控制系统 ,仿真结果表明了方法的有效性 ,对实现智能交通系统有重要意义 .

In accordance with the characteristics of the mass spectrum database,many KDD algorithms,such as the property-oriented inductive algorithm,Multi_AdaBoost algorithm based on Boosting Native Bayesian Learning as well as statistical ways are adopted during the data pre-treating process,and the results make it possible for us to have a better understanding of the mass spectrum database,so lay a good foundation for constructing knowledge base of intellectual resolution process of mass spectrum.

针对谱图数据库的特性,在利用数据库知识发现(KDD)技术对谱图数据库进行数据预处理过程中,利用面向属性的归纳法对数据属性间的相关性进行分析,Multi_AdaBoost算法进行聚类分析和统计方法对Beynon表进行审核等方面进行了研究,这样,对质谱库有了更进一步的认识,为构建质谱智能解析系统的知识库和质谱解析的智能化打下了良好的基础。

A multi agent coordination is addressed in urban traffic control, which uses the recursive modeling method(RMM) that enables an agent to select its[KG2/3]rational[KG2/3]action[KG2/3]by[KG2/3]examining[KG1/3]with[KG1/3]other agents by modeling their decision making in a distributed multi agent environment. Bayesian learning is used in conjunction with RMM for belief update. Based on this method, a multi agent traffic control system is established and the results demonstrated its effective.

提出一种基于递归建模方法 (RMM)的多智能体协调方法 ,使智能体在分布式环境下对其它智能体的决策建模选择合理的行动。对 RMM中的信念更新采用贝叶斯学习方法 ,使智能体可以确定其它智能体的准确模型并实时更新信息。在城市交通控制领域建立多智能体交通控制系统 ,仿真结果表明了该方法的有效性 ,对实现智能交通系统具有重要意义。

 
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