最大事後確率
1. Maximum a posteriori estimationIn Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to Fisher's method of maximum likelihood (ML), but employs an augmented optimization objective which incorporates a prior distribution over the quantity one wants to estimate. MAP estimation can therefore be seen as a regularization of ML estimation.
Read “Maximum a posteriori estimation” on English Wikipedia
Read “最大事後確率” on Japanese Wikipedia
Read “Maximum a posteriori estimation” on DBpedia
Read “Maximum a posteriori estimation” on English Wikipedia
Read “最大事後確率” on Japanese Wikipedia
Read “Maximum a posteriori estimation” on DBpedia
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