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Bonky
V2EX  ›  程序员

问下大家在 ML 中的 belief 怎么理解

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  •   Bonky · Apr 14, 2019 via iPad · 2787 views
    This topic created in 2587 days ago, the information mentioned may be changed or developed.

    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

    5 replies    2019-04-15 09:06:43 +08:00
    YzSama
        1
    YzSama  
       Apr 14, 2019 via iPhone
    不如楼主你直接点?😂
    oblivious
        2
    oblivious  
       Apr 14, 2019
    Machine Learning = ML ?

    belief = 信念?感觉第一次碰到这个词。。。
    airqj
        3
    airqj  
       Apr 14, 2019
    深度信念网络?
    fangchang
        4
    fangchang  
       Apr 15, 2019   ❤️ 1
    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
        5
    Bonky  
    OP
       Apr 15, 2019 via iPhone
    @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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