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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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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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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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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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