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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 · 3236 views
    This topic created in 2762 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
    YzSama
    Apr 14, 2019 via iPhone
    1
    不如楼主你直接点?😂
    oblivious
    oblivious
    Apr 14, 2019
    2
    Machine Learning = ML ?

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