for entropy H = entropy(S) this command will evaluate the entropy of S, S should be row Matrix H = entropy([X Y Z]) this command will find the joint entropy for the 3 variables H = entropy([X,Y],[Z,W]) this will find H(X,Y/Z,W).. you can use it for any combination of joint entropies Please validate this function before using it
标签: entropy evaluate command matrix
上传时间: 2017-09-10
上传用户:caozhizhi
hex file for 16X16 dit Matrix
上传时间: 2017-09-16
上传用户:ma1301115706
schedule, threads & multi Matrix
标签: schedule threads Matrix multi
上传时间: 2013-12-21
上传用户:66666
Efficient Asynchronous Bundled-data Pipelines for DCT Matrix-Vector Multiplication
标签: Multiplication Matrix-Vector Asynchronous Bundled-data
上传时间: 2017-09-19
上传用户:cuiyashuo
bsxfun, 一個matlab中十分常用的函數. 可以快速地對matrix進行接位複合運算~~
上传时间: 2013-12-20
上传用户:ywqaxiwang
Low density parity check Matrix
标签: density parity matrix check
上传时间: 2014-01-08
上传用户:yt1993410
Coding the Matrix _ Linear Algebra through Computer Science Applications 著名线性代数和矩阵课程的课本,亚马逊销量第一
上传时间: 2016-11-14
上传用户:kitool
netlogo扩展文件CSV和扩展文件matrix
上传时间: 2019-04-01
上传用户:YJL1234567890
From its inception, random Matrix theory has been heavily influenced by its applications in physics, statistics and engineering. The landmark contributions to the theory of random matrices of Wishart (1928) [311], Wigner (1955) [303], and Mar˘ cenko and Pastur (1967) [170] were moti- vated to a large extent by practical experimental problems.
上传时间: 2020-06-01
上传用户:shancjb
书名《A Matrix Handbook for Statisticians》。矩阵方面的书籍
标签: Statisticians Handbook Matrix for
上传时间: 2020-10-05
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