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动态贝叶斯网络结构学习算法，用来检验基于BOA的DBN结构寻优体系的合理性与可行性。环境matlab 6.1以上-Dynamic Bayesian network structure learning algorithm, the DBN used to test the structure-based optimization BOA system is reasonable and feasible. Environmental matlab 6.1 or above
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用k2算法从先验概率构建贝叶斯网络，实现推理，结构学习，参数学习用贝叶斯方法。-K2 algorithm using Bayesian network built from the a priori probability to achieve reasoning, structure learning, parameter learning.
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structure EM算法
bayesian network structure learning-structure EM algorithm for bayesian network structure learning
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bayesian network structrue learning
matlab program
-bayesian network structrue learningmatlab program
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贝叶斯网络学习算法——k2算法，包括对贝叶斯网络结构的学习，最后生成网络-Bayesian network learning algorithm- k2 algorithms, including Bayesian network structure learning, the last generation network
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贝叶斯网络结构学习及其在数据挖掘中的应用研究 一篇非常不错的博士论文-Bayesian Network Structure Learning and Its Application in Data Mining of a very good dissertation
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在matlab开发环境下 对贝叶斯网络结构进行学习 推理 计算分类，并且对它进行性能分析和比较-Matlab development environment for learning Bayesian network structure inference to calculate the classification, and its performance analysis and comparison
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贝叶斯网络结构学习，及参数学习K2算法matlab代码-Bayesian network structure learning and parameter learning K2 algorithm matlab code
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MIT博士生开发的功能极强大的贝叶斯网络工具箱（MATLAB环境下），支持多种参数学习和结构学习算法，内附详细说明-MIT doctoral developed extremely powerful Bayesian Network Toolbox (MATLAB environment) to support a variety of parameter learning and structure learning algorithm, containing a detailed descr
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贝叶斯网络学习算法――k2算法，包括对贝叶斯网络结构的学习，最后生成网络-Bayesian network learning algorithms- k2 algorithm, including learning of Bayesian network structure, and finally generate network
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贝叶斯网络K2结构学习算法，确定节点顺序，限制子节点个数 -K2 Bayesian network structure learning algorithm
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利用BNT产生大量样本数据进行贝叶斯网络的结构学习与参数学习。-Use a large amount of sample data BNT structure learning and parameter learning Bayesian network.
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贝叶斯网络结构学习K2算法源码，可以用于因果判断等-K2 Bayesian network structure learning algorithm source codeCan be used to determine cause and effect, etc.
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贝叶斯网络结构学习爬山算法的改进方法，更准确-Improved Bayesian network structure learning climbing algorithm, more accurate
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本程序是贝叶斯网络结构学习的K2算法程序，可获取离散变量的贝叶斯网络-This procedure is K2 Bayesian network structure learning algorithm program, available discrete variables Bayesian Network
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从数据样本中随机选取一本分数据，运用K2算法进行贝叶斯网络结构学习-A sub-data randomly selected the data samples, using K2 Bayesian network structure learning algorithm
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一般贝叶斯网络的构建是首先由相关领域的专家根据事物间的关系来确定出结构模型，即有向无环图，然后再利用其它方法确定每个节点的条件概率，但这样构建的网络模型无法保证其客观性和可靠性．(In general, the construction of Bayesian network is to determine the structural model, i.e. directed acyclic graph, by experts in related fields according to th
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