问下大家在 ML 中的 belief 怎么理解

2019-04-14 21:43:38 +08:00
 Bonky

最近看的很多材料都提到了这个东西,实在不解,于是向大伙们救助

2176 次点击
所在节点    程序员
5 条回复
YzSama
2019-04-14 21:53:03 +08:00
不如楼主你直接点?😂
oblivious
2019-04-14 22:34:41 +08:00
Machine Learning = ML ?

belief = 信念?感觉第一次碰到这个词。。。
airqj
2019-04-14 22:52:46 +08:00
深度信念网络?
fangchang
2019-04-15 05:35:39 +08:00
Belief propagation, also known as sum-product message passing, is a message-passing algorithm for performing inference on graphical models, such as Bayesian networks and Markov random fields. It calculates the marginal distribution for each unobserved node, conditional on any observed nodes. Belief propagation is commonly used in artificial intelligence and information theory and has demonstrated empirical success in numerous applications including low-density parity-check codes, turbo codes, free energy approximation, and satisfiability.

来自 wikipedia
Bonky
2019-04-15 09:06:43 +08:00
@fangchang
@airqj
@oblivious
谢谢大家,我想问的就 belief 这一个单词的理解

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