In the process of modeling BNs, the structure learning and parameter learning of BNs are analyzed detailedly.
详细分析了贝叶斯网络的建模过程，即贝叶斯网络的结构学习过程和贝叶斯网络的参数学习过程。
For the complexity of data and the deep relationship of semantic, a Lie Group deep structure learning algorithm is proposed.
针对数据的复杂性和语义深层关系，提出一种李群深层结构学习算法。
The learning of Bayesian Networks is studied, including structure learning of Bayesian Networks and parameter learning of Bayesian Networks.
研究了贝叶斯网络的学习问题，包括贝叶斯网络结构学习和贝叶斯网络参数学习。
The network structure, learning algorithm, feature extraction and synthetic decision are described.
文中阐述了其网络结构、学习算法、特征提取及综合决策方法。
The network structure, learning algorithm, feature extraction and synthetic decision are described.
文中阐述了其网络结构、学习算法、特征提取及综合决策方法。
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