开课单位--欧洲软计算中心
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Bayesian Methods[贝叶斯方法]
Christian Borgelt(欧洲软计算中心) In the last decade probabilistic graphical models - in particular Bayes networks and Markov networks - became very popular as tools for structuring ...
热度:61
Christian Borgelt(欧洲软计算中心) In the last decade probabilistic graphical models - in particular Bayes networks and Markov networks - became very popular as tools for structuring ...
热度:61
![](functions/showpic.php?filename=2019063008031849.jpg)
Support Computation for Mining Frequent Subgraphs in a Single Graph[在单个图中挖掘频繁子图的支持计算]
Mathias Fiedler(欧洲软计算中心) Defining the support (or frequency) of a subgraph is trivial when a database of graphs is given: it is simply the number of graphs in the database...
热度:32
Mathias Fiedler(欧洲软计算中心) Defining the support (or frequency) of a subgraph is trivial when a database of graphs is given: it is simply the number of graphs in the database...
热度:32
![](functions/showpic.php?filename=2019042702492223.jpg)
Graphical Models[图形模型]
Christian Borgelt(欧洲软计算中心) In the last decade probabilistic graphical models -- in particular Bayes networks and Markov networks -- became very popular as tools for structuring...
热度:59
Christian Borgelt(欧洲软计算中心) In the last decade probabilistic graphical models -- in particular Bayes networks and Markov networks -- became very popular as tools for structuring...
热度:59
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