Information Entropy Time Limit: 1 Sec Memory Limit: 256 MB 题目连接 http://acm.zju.edu.cn/onlinejudge/showProblem.do?problemCode=3827 Description Information Theory is one of the most popular courses in Marjar University. In this course, there is an impo…

水 Information Entropy Time Limit: 2 Seconds      Memory Limit: 65536 KB      Special Judge Information Theory is one of the most popular courses in Marjar University. In this course, there is an important chapter about information entropy. Entropy is…

题目链接:ZOJ 3827 Information Entropy 依据题目的公式算吧,那个极限是0 AC代码: #include <stdio.h> #include <string.h> #include <math.h> const double e=exp(1.0); double find(char op[]) { if(op[0]=='b') return 2.0; else if(op[0]=='n') return e; else if(op[0]=='…

Information Entropy Time Limit: 2 Seconds      Memory Limit: 65536 KB      Special Judge Information Theory is one of the most popular courses in Marjar University. In this course, there is an important chapter about information entropy. Entropy is t…

I - Information Entropy Time Limit:2000MS     Memory Limit:65536KB     64bit IO Format:%lld & %llu Submit Status Description Information Theory is one of the most popular courses in Marjar University. In this course, there is an important chapter abo…

题目链接:http://acm.zju.edu.cn/onlinejudge/showProblem.do? problemId=5381 Information Theory is one of the most popular courses in Marjar University. In this course, there is an important chapter about information entropy. Entropy is the average amount o…

Information Entropy Time Limit: 2 Seconds      Memory Limit: 131072 KB      Special Judge Information Theory is one of the most popular courses in Marjar University. In this course, there is an important chapter about information entropy. Entropy is…

Information Entropy Time Limit: 2 Seconds      Memory Limit: 65536 KB      Special Judge Information Theory is one of the most popular courses in Marjar University. In this course, there is an important chapter about information entropy. Entropy is t…

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任何关系),它携带的信息量就越大(因为是相加累计),这里就是类别变量i的信息熵越大. 系统越是有序,信息熵就越低:反之,一个系统越乱,信息熵就越高.所以…

https://en.wikipedia.org/wiki/Claude_Shannon In 1948, the promised memorandum appeared as "A Mathematical Theory of Communication," an article in two parts in the July and October issues of the Bell System Technical Journal. This work focuses on…