arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1603.01481math.PR
收藏

带约束的Gibbs随机场和Markov随机场

Gibbs Random Fields and Markov Random Fields with Constraints

Levent Onural

摘要:

文献中多次证明,当场的所有实现具有非零概率时,马尔可夫随机场等价于吉布斯随机场;证明相当复杂。给出了一个直接基于简单概率论的简单证明。此外,它表明,等价性仍然是有效的,当有任何类型的约束(零概率实现)。等价性也可推广到无限大的随机场。

英文摘要:

It was shown many times in the literature that a Markov random field is equivalent to a Gibbs random field when all realizations of the field have non-zero probabilities; the proofs are rather complicated. A simpler proof, which is based directly on simple probability theory, is presented. Furthermore, it is shown that the equivalence is still valid when there are constraints (zero probability realizations) of any type. The equivalence extends to infinite size random fields, as well.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑