> For the complete documentation index, see [llms.txt](https://json007.gitbook.io/svm/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://json007.gitbook.io/svm/boosting/mixture_models.md).

# Mixture models

集成思想主要有四类

* committees
* boosting
* space split
* mixture models，例：mixtures of Linear regression，mixtures of logistic models 和mixtures of experts

## Mixture models##\#

通过公式：$$p(t|x) = \sum\_{k=1}^K \pi\_k(x) p\_k(t|x)$$ 比如：$$f(x) = \sum\_{k=1}^K \frac {e^{v\_k x}}{\sum\_{j=1}^K e^{v\_j x}} \frac {1}{1+e^{w\_k x}}$$, 然后用EM求解。