The expectation-maximization (EM) algorithm incorporates statistical considerations to compute the “most likely,” or maximum-likelihood (ML), source distribution that would have created the observed projection data, including the effects of counting statistics. Specifically, it assigns greater weig...
它就是首先做一个预处理,将身高在一个范围内(例如1.71至1.74)的分成一个网格,再看这个网格占全部数据的多少,以此判断出该网格为高密度还是低密度,然后循环算出所有网格的,再使用EM算法计算哪些高密度网格,这样会使整个算法收敛的快一些。还有一些其他的论文也是讲的这个。
https://github.com/financialnoob/misc/blob/305bf8bc7cbdddaf47d40078100ba27935ff4452/6.introduction_to_em_algorithm.ipynb 编辑:于腾凯 校对:林亦霖
在下面的实现中将使用与论文中相同数据来检查是否获得了相同的结果。Python 代码如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 m=10# numberofflipsineach samplen=5# numberofsamplesxs=np.array([5,9,8,4,7])theta=[0.6,0.5]# initial guess p_1,p_2foriinrange(10):p_1,p_2=theta ...
theexpectationmaximizationalgorithm期望最大化算法 系统标签: maximizationexpectationalgorithm最大化minka算法 TheExpectationMaximizationAlgorithmFrankDellaertCollegeofComputing,GeorgiaInstituteofTechnologyTechnicalReportnumberGIT-GVU-02-20February2002AbstractThisnoterepresentsmyattemptatexplainingtheEMalgorithm(Hartley,1958;Demps...
Expectation-Maximization Algorithm [[EM算法]]是一种迭代优化策略,由于它的计算方法中每一次迭代都分两步,其中一个为期望步(E步),另一个为极大步(M步),所以算法被称为EM算法(Expectation Maximization Algorithm)。其基本思想是:首先根据己经给出的观测数据,估计出模型参数的值;然后再依据上一步估计出的参数值估...
EM算法(Expectation - Maximization)通俗实例(What is the expectation maximization algorithm?) Batzoglou在论文《What is theexpectationmaximizationalgorithm? 》中举了一个通俗的扔硬币例子,对新人理解EM算法,很有帮助 解释一下,(由于有...西瓜书 7.6 章 讲到了EM算法,并声明此算法为“数据挖掘十大算法”,是含“...
在下面的实现中将使用与论文中相同数据来检查是否获得了相同的结果。 Python 代码如下 m = 10 # number of flips in each sample n = 5 # number of samples xs = np.array([5,9,8,4,7]) theta = [0.6, 0.5] # initial guess p_1, p_2 for i in range(10): p_1,p_2 = theta T_1s ...
The expectation maximization algorithm arises in many computational biology applications that involve probabilistic models. What is it good for, and how does it work? This is a preview of subscription content, access via your institution Access options Access through your institution Subscription info...
Computational aspects of fitting mixture models via the expectation-maximization algorithm 热度: The Implementation of Communicative Language Approach in Teaching Spoken English for Senior Students 热度: UNIVERSITYOFCINCINNATI Date: I,, herebysubmitthisoriginalworkaspartoftherequirementsforthedegreeof: ...