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An alternate algorithm for calculating generalized posterior probability and decoding

机译:一种计算广义后验概率和解码的替代算法

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The accurate and efficient calculation of ordinary and generalized posterior distributions is an important problem in the several research fields such as decoding, AI, statistics and statistical mechanics. The condition of generalized posterior distributions is riot given by the deterministic values such as X = x, but by the distributions such as P(X = x) = p{sub}x. If the condition is P(X = x) = 1 then the generalized posterior distribution is an ordinary posterior distribution. In this paper, a procedure using the sum of the e-projection vectors shall be proposed. Since the procedure is suitable for parallel algorithms, an alternate algorithm for calculating generalized posterior distributions on log linear models is given by the procedure. The proposed algorithm works well for the codes with short loops.
机译:普通和广义后分布的准确有效地计算是若干研究领域的重要问题,例如解码,AI,统计和统计力学。广义后分布的条件是由X = X的确定性值给出的骚乱,但是由诸如P(x = x)= p {sub} x的分布。如果条件为p(x = x)= 1,则广义后部分布是普通的后分布。在本文中,应提出使用电子投影矢量总和的过程。由于该过程适用于并行算法,因此该过程给出了用于计算日志线性模型上的广义后部分布的替代算法。该算法适用于带有短路的代码。

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