1)Bayesian learning贝叶斯学习
1.Video retrieval relevance feedback algorithm based on Bayesian learning;基于贝叶斯学习的视频检索相关反馈算法设计
2.Bayesian learning and inference algorithm based on Bayesian Networks Toolbox;基于贝叶斯网络工具箱的贝叶斯学习和推理
3.Bayesian learning is a probability method that makes optimal decision based on known probability distribution and recently observed data.贝叶斯学习是一种基于已知的概率分布和观察到的数据进行推理,做出最优决策的概率手段。
英文短句/例句
1.Bayesian Networks Construction and Their Applications in Data Mining贝叶斯学习、贝叶斯网络与数据采掘
2.Approach of Image Reconstruction Based on Sparse Bayesian Learning基于稀疏贝叶斯学习的图像重建方法
3.Agent Negotiation Strategy Constitution Research Based on Bayesian Study;基于贝叶斯学习的Agent谈判策略构造研究
4.Power systems transient stability assessment based on sparse Bayesian learning基于稀疏贝叶斯学习的电力系统暂态稳定评估
5.Bayes estimation learning system贝叶斯估计学习系统
6.ACO-based BN Structure Learning and Its Application;基于ACO的贝叶斯网结构学习与应用
7.The Research of Bayesian Networks Learning Based on Domain Knowledge;基于领域知识的贝叶斯网络学习研究
8.Research and Application of Bayesian Quantum Stochastic Learning Algorithms;贝叶斯量子随机学习算法及应用研究
9.RESEARCH ON BAYESIAN NETWORKS STRUCTURE LEARNING BASED ON ROUGH SET;基于Rough Set的贝叶斯网络结构学习研究
10.Efficient Hill-climbing Algorithm for Learning Bayesian Networks贝叶斯网学习中一种有效的爬山算法
11.SEM Algorithm with Values Missed in Learning Bayesian Network数据缺失下学习贝叶斯网的SEM算法
12.Uniform Bayesian Network Learning Model and Parameter Learning Algorithms贝叶斯网学习算法模型及参数学习算法
13.The Bayes Assessment of the Students Independent Learning under Network Environment;网络环境下学生自主学习的贝叶斯评价
14.Improvement to a Dependency Analysis Based Bayesian Network Learning Algorithm and Experiments对一种贝叶斯网络学习算法的改进及试验分析
15.Algorithm of Bayesian Network Structural Learning Based on Quantum Genetic;基于量子遗传算法的贝叶斯网络结构学习
16.Research on Structure Learning of Bayesian Classifier Based on Genetic Algorithms;基于遗传算法的贝叶斯分类器结构学习研究
17.Structure Learning in Bayesian Networks and Construct MBNC Experimental Platform;贝叶斯网络结构学习及MBNC实验平台的构建
18.An Algorithm of Parameter Learning in Bayesian Network from Incomplete Data;不完整数据的贝叶斯网络参数学习新算法
相关短句/例句
Bayes learning贝叶斯学习
1.Negotiation strategies based on un-compromising degree is presented on the basis of Bayes learning and in time-limited multi-issues among multi-Agents.,为了当协商进入僵持状态时参与协商的买卖双方能确定是否进行妥协,从而使协商继续进行下去,本文在限时条件下的多议题协商中和贝叶斯学习的基础上提出了基于不妥协度的协商策略。
3)Naive Bayes machine learning贝叶斯机器学习
4)Sparse bayesian learning稀疏贝叶斯学习
5)Bayesian structure learning贝叶斯结构学习
6)Bayesian Yin-Yang贝叶斯阴阳学习
延伸阅读
贝叶斯公式贝叶斯公式为利用搜集到的信息对原有判断进行修正提供了有效手段。在采样之前，经济主体对各种假设有一个判断（先验概率），设为，{}。关于先验概率的分布，通常可根据经济主体的经验判断确定(当无任何信息时，一般假设各先验概率相同)，较复杂精确的可利用包括最大熵技术或边际分布密度以及相互信息原理等方法来确定先验概率分布。当采样得到样本值后，当事人对各假设的判断(后验概率)为 ，= 1， 2， %26#8230;， (5.5) 在实际经济生活中，信息搜寻工作不是一次就完成的。当信息搜寻进行到某一阶段，设已进行了 次采样( =1，2，%26#8230;)，此时经济主体对各假设的后验概率的认识为 =1， 2， %26#8230;， (5.6) 其中，表示在第次采样前对假设的判断，当 =1时即表示第一次采样前的先验概率，从而式(5.5)变成式(5.6)的一个特例，即，将其记为。
