决策网络
- 你知道这是什么吗？它们如何在决策理论中表示决策（使用概率）
- 它们与决策树相似吗？
- Do you know what is this, and How they represent decisions (using probabilities) in Decision Theory
- Are they similar to decision trees?
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是的，它们有相似的概念，都主要包含：决策节点和决策节点。机会节点。
除了在网络中之外，您不一定从一个节点开始，但可以从不同节点的组合开始，而不是每个节点都采用树中的单个输入，在网络中，一个决策/chance 可以基于多个输入。
例如，在网络中的单个节点中：Weather=Sunny + Holiday=True =>去远足=True。
所以你不需要像树一样将其分成多个节点。
总的来说，它们的区别类似于传统意义上的树和图。如果您熟悉决策树，您应该能够轻松地制定决策网络。
希望这有帮助。
Yes, they share similar concepts, and both mainly contains: decision nodes & chance nodes.
Except in a network, you don't necessarily start from one node but it could start with a combination of different nodes, and instead of every node taking a single input in tree, in a network, a decision/chance could be based on multiple inputs.
e.g. in a single node in a network : Weather=Sunny + Holiday=True => go for a hike=True.
so you dont need to split it into multiple nodes as in trees.
In general, their differences are similar as to trees and graphs in a traditional sense. You should be able to work out a decision network easily if you are familiar with decision trees.
Hope this is helpful.