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金融证券系统 hurst parameter: 給入一序列的資類
hurst parameter: 給入一序列的資類,程式會畫出husrt 參數的figure和估計值
例 hurst_expo(sin(0:0.01:5*pi))
并行计算 MPI的工具 MPI_tuning_ClusterTools Basic_Tracefile_Generation
MPI的工具
MPI_tuning_ClusterTools
Basic_Tracefile_Generation
文件格式 A Stable Self-Tuning Fuzzy Logic Control System for Industrial Temperature Regulation
A Stable Self-Tuning Fuzzy Logic Control System for Industrial Temperature Regulation
人工智能/神经网络 This code is to estimate the parameter of model of Mixture Gauss which is popular model used in patt
This code is to estimate the parameter of model of Mixture Gauss which is popular model used in pattern classification .
JAVA 写的估计复合高斯模型中的参数
其他书籍 Parameter estimation is a subject that is standard fare in the many books available on statistics. T
Parameter estimation is a subject that is standard fare in the many books available on statistics. This book developes from basic to high level of estimation with simple and useful example
通讯编程文档 This file is a function under matlab which allow to compute several statistical parameter of random
This file is a function under matlab which allow to compute several statistical parameter of random signal such as variance, power, mean values, std, ...
并行计算 MPI的工具 MPI_tuning_ClusterTools Record_Custom_Performance_Counter
MPI的工具
MPI_tuning_ClusterTools
Record_Custom_Performance_Counter
并行计算 MPI的工具 MPI_tuning_ClusterTools Selective_Tracing_and_Filtering.zip
MPI的工具
MPI_tuning_ClusterTools
Selective_Tracing_and_Filtering.zip
matlab例程 FASTICA can be called with numerous optional arguments. Optional arguments are given in parameter pa
FASTICA can be called with numerous optional arguments. Optional arguments are given in parameter pairs, so that first argument is the name of the parameter and the next argument is the value for that parameter. Optional parameter pairs can be given in any order.
驱动编程 EM算法(英文)A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaus
EM算法(英文)A Gentle Tutorial of the EM Algorithm
and its Application to Parameter
Estimation for Gaussian Mixture and
Hidden Markov Models