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Preface The EM algorithm is an iterative algorithm, which was presented by Dempster and others in 1977 for maximum likelihood estimation of probabilistic model parameters with implicit variables (hidden variable), or maximum posteriori probability

I. Introduction of EM EM (expectation mmaximization) is an iterative algorithm for maximum likelihood estimation of probabilistic model parameters with implicit variables (latent Variable), or an EM algorithm with a maximum posteriori probability

Shallow solution from maximum likelihood to EM algorithm[Email protected]Http://blog.csdn.net/zouxy09One of the Ten machine learning algorithms: EM algorithm. To be able to comment on one of the ten, so that people sound like a very NB. What is NB

First, basic understandingThe EM (expectation maximization algorithm) algorithm is the desired maximization algorithm. The name of the very science, is the algorithm in the name of the two steps in the name, an e-step calculation of expectations, a

Summary: This is quoted as Jorux's "95% Chinese website needs to rewrite CSS" article, the topic is a bit scary, but it is the current domestic web page production of some shortcomings. I have always been confused about the relationship between PX

Here's the original.One of the Ten machine learning algorithms: EM algorithm. To be able to comment on one of the ten, so that people sound like a very NB. What is NB Ah, we generally say that someone is very NB, because he can solve some problems

Quoted here is Jorux's "95% Chinese web site needs to rewrite the CSS" article, the topic is a bit scary, but it is now a number of domestic web page production defects. I have not been clear about the relationship between PX and EM and the

Article Introduction: but the exception of 12px Chinese characters is that the 12px (1.2em) size of Chinese characters obtained by the above method is not equal to the font size defined directly with 12px, but slightly larger. This problem Jorux has

Quoted here is Jorux's "95% Chinese web site needs to rewrite CSS" article, the topic is a bit scary, but it is the current domestic web page production of some shortcomings. I have always been confused about the relationship between PX and EM and

EM algorithm, before the pattern recognition class, deduced, in the "statistical learning method" did not have the patience to see a few times, the personal feeling said too theory, at that time did not understand, then learn LDA, want to realize