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雷达卡
1 The Discrete Case: Multinomial Bayesian Networks2 The Continuous Case: Gaussian Bayesian Networks
3 The Mixed Case: Conditional Gaussian Bayesian Networks
4 Time Series: Dynamic Bayesian Networks
5 More Complex Cases: General Bayesian Networks
6 Theory and Algorithms for Bayesian Networks
7 Software for Bayesian Networks
8 Real-World Applications of Bayesian Networks
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