信息熵(Entropy)、信息增益(Information Gain) 参考自:Andrew Moore:http://www.cs.cmu.edu/~awm/tutorials 参考文档见:AndrewMoore_InformationGain.pdf 1、 信息熵:H(X) 描述X携带的信息量。 信息量越大(值变化越多),则越不确定,越不容易被预测。 对于抛硬币问题,每次有2种情况,信息熵为1 对于投骰子问题...
3 Entropy and information gain In[12]a measurement is called quasi-complete if the a posteriori states are pure for every pure initial state and it is called complete if the a posteriori states are pure for every(pure or mixed) initial state. So,we call quasi-complete theontinual measureme...
A. Barchielli, Entropy and information gain in quantum continual measurements, preprint n. 430/P, September 2000, Mathematical Department, Politecnico di Mi- lano.A. Barchielli, Entropy and information gain in quantum continual mea- surements, in P. Tombesi and O. Hirota (eds.), Quantum ...
State change, quantum probability, and information gain in the operational phasespace measurement are formulated by means of positive operator-valued measu... M Ban - 《International Journal of Theoretical Physics》 被引量: 104发表: 1997年 Information entropy-based viewpoint planning for 3-D object...
信息熵与信息增益(IE, Information Entropy; IG, Information Gain) 信息增益是机器学习中特征选择的关键指标,而学习信息增益前,需要先了解信息熵和条件熵这两个重要概念。 信息熵(信息量) 信息熵的意思就是一个变量i(就是这里的类别)可能的变化越多(只和值的种类多少以及发生概率有关,反而跟变量具体的取值没有...
This paper introduces the text classification methods and features of the maximum entropy model with improved information gain selection method and the pretreatment method and the MapReduce programming method, the experimental results have a good accuracy and recall, the classification of large amounts ...
k-means and information gain (包括entropy)
多变量 entropy,information gain 这里Y,X对应的是不同的变量(事件),条件熵,联合熵基本也对应条件概率,联合概率 条件熵:值域 已知X情况下,Y的熵的期望。 【双重求和,外层 确定时, 为常数,可以直接移入内层sum。然后贝叶斯即可】 即当已知X的情况下,Y的不确定性为多少。如果X与Y无关,此时取得最大值 ...
信息熵与信息增益(IE, Information Entropy; IG, Information Gain) 信息增益是机器学习中特征选择的关键指标,而学习信息增益前,需要先了解信息熵和条件熵这两个重要概念。 信息熵(信息量) 信息熵的意思就是一个变量i(就是这里的类别)可能的变化越多(只和值的种类多少以及发生概率有关,反而跟变量具体的取值没有...
The SNP- based entropy methods (SBEM) had been used to detect SSIs.12,13 We proposed a gene-based information gain method (GBIGM), which is based on the entropy and information gain theory and views all SNPs in a gene for detecting GGIs in case–control studies. For a gene, we ...