c******g
发帖数: 65 | 1 前段时间看BAYESIAN IMAGE SEGMENTATION。
搞得晕头转向的。
不知道有没有高人，给一个有说明力的例子。谢谢。 | p******n
发帖数: 874 | | y*****y
发帖数: 98 | 3 MLE is a frequentist method and follows a likelihood principle. MLE only
depends on your current data, i.e let data talk.
The latter one is a bayesian method. You need specify a prior first (
informative or non-informative). The estimate of posterior is a compromise
between your data and the prior. | c******g
发帖数: 65 | 4 yes,
【在 p******n 的大作中提到】
: MLE and MAP?
| c******g
发帖数: 65 | 5 thanks,
Could you give a illustrative example to make it more clear.
My application is image segmentation.
【在 y*****y 的大作中提到】
: MLE is a frequentist method and follows a likelihood principle. MLE only
: depends on your current data, i.e let data talk.
: The latter one is a bayesian method. You need specify a prior first (
: informative or non-informative). The estimate of posterior is a compromise
: between your data and the prior.
| c******g
发帖数: 65 | 6 比如已知一个随机序列， 1,3,2,1,8,9,2
如何进行MLE和MAP？ |
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