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【Mathimatics-Numerical algorithms】 multivariate DL : 0: 《多元数据分析》是我正在看的一本书，把该书带的光盘内容上传到此。希望对其他人有用。- "Multi- Numbers according to Analysis" are I a book which looked, passes to this in this book belt compact disc content. Hopes to other person of useful.
Update : 2024-04-26 Size : 1644544 Publisher : 刘宏
【File Operate】离差阵(good) DL : 0: 多元统计是求样本矩阵的离差矩阵，在Ｃ下写的程序。-multivariate statistical sample matrix is the pursuit of deviation matrix, written in C procedures.
Update : 2024-04-26 Size : 39936 Publisher : 海
【Algorithm】 20061511851148 DL : 0: SAS 源码《应用多元分析》王学民编著的SAS程序 -SAS source "Multivariate Analysis" Wang Xuemin prepared by the SAS procedure
Update : 2024-04-26 Size : 200704 Publisher : 胜
【Data structs】 PyChem DL : 0: PyChem是用Python语言编写的多元变量分析软件。它包括一个前端图形界面用于管理和保存试验数据，并用多元分析的算法分析试验数据。主要的目录结构如下： PyChem\PURELIB\pychem 包括前端界面的管理和数据保存，以及核心的分析算法 PyChem\PURELIB\pychemlib 包括一些必要的支持库-PyChem Python language is used to prepare the multivariate analysis software. It includes a front-end GUI for the management and preservation of test data, and using multivariate analysis algorithm analysis of the test data. The main directory structure is as follows : PyChem \ PURELIB \ pychem including front-end interface management and data retention, and the core analysis algorithm PyChem \ PURELIB \ pychemlib including some necessary support libraries
Update : 2024-04-26 Size : 97280 Publisher : star
【matlab】 4wayMVA DL : 0: GUI for Multivariate Image Analysis of 4-dimensional data (Matlab Code)-GUI for Multivariate Image Analysis of 4-d imensional data (Matlab Code)
Update : 2024-04-26 Size : 592896 Publisher : 廖智茗
【Graph Recognize】 bayescode1 DL : 0: 模式识别中，对于服从多元正态分布的样本的一个分类器的实现。-pattern recognition, obedience multivariate normal distribution of a sample of the classifier is achieved.
Update : 2024-04-26 Size : 39936 Publisher : kun
【matlab】 MultivariateGaussianMixtureModelOptimizationbyCros DL : 0: Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
Update : 2024-04-26 Size : 387072 Publisher : 阳关
【matlab】 sbgcop_0.95.tar DL : 0: sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Package source: sbgcop_0.95.tar.gz MacOS X binary: sbgcop_0.95.tgz Windows binary: sbgcop_0.95.zip Reference manual: sbgcop.pdf
Update : 2024-04-26 Size : 5120 Publisher : cy
【AI-NN-PR】 svm_perf.tar DL : 0: New training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you direcly optimize multivariate performance measures like F1-Score, ROC-Area, and the Precision/Recall Break-Even Point.
Update : 2024-04-26 Size : 87040 Publisher : 张山
【Graph program】 PCA-based_Similarity_Measurefor_Multivariate_Time_ DL : 0: 2004 A PCA-based Similarity Measure for Multivariate Time Series.pdf 流行学习-2004 A PCA-based Similarity Measure for Multivariate Time Series.pdf popular learning
Update : 2024-04-26 Size : 169984 Publisher :
【Windows Develop】 pcahao DL : 0: /* Principal Components Analysis or the Karhunen-Loeve expansion is a classical method for dimensionality reduction or exploratory data analysis. One reference among many is: F. Murtagh and A. Heck, Multivariate Data Analysis, Kluwer Academic, Dordrecht, 1987 (hardbound, paperback and accompanying diskette). This program is public-domain. If of importance, please reference the author. Please also send comments of any kind to the author:
Update : 2024-04-26 Size : 5120 Publisher : lrx
【source in ebook】 BOOKMultivariateAnalysis DL : 0: 高老师的经典多元统计分析教材源代码非常经典使用-High teacher teaching the classical multivariate statistical analysis using the source code is very classic
Update : 2024-04-26 Size : 55296 Publisher : water
【Other】 arstepfit DL : 0: Stepwise least squares estimation of multivariate AR model
Update : 2024-04-26 Size : 2048 Publisher : Rob
【Other】 suijiguocheng DL : 0: 这部分是用MATLAB产生随机过程的一系列源代码.含产生高斯分布随机变量,多变量高斯过程样本的产生,高斯--马尔科夫过程的产生等等..分别运行了这些程序.希望对大家有用-This is partly a random process generated by MATLAB source code of the series. Containing random variables have a Gaussian distribution, multivariate Gaussian process for selecting the sample, Gaussian- Markov process and so on .. have to run the procedure separately . everyone would like to be useful
Update : 2024-04-26 Size : 10240 Publisher : 290412725
【matlab】 Multivariate-statistical DL : 0: Update : 2024-04-26 Size : 164864 Publisher : 苏云
【matlab】 fsmem_mvgm DL : 0: Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds-Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds
Update : 2024-04-26 Size : 220160 Publisher : ewizlab
【Other】 svm_perf DL : 0: SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike regular SVMs, however, which consider only univariate predictions like in classification and regression, SVMstruct can predict complex objects y like trees, sequences, or sets. Examples of problems with complex outputs are natural language parsing, sequence alignment in protein homology detection, and markov models for part-of-speech tagging. The SVMstruct algorithm can also be used for linear-time training of binary and multi-class SVMs under the linear kernel. -SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X--> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike regular SVMs, however, which consider only univariate predictions like in classification and regression, SVMstruct can predict complex objects y like trees, sequences, or sets. Examples of problems with complex outputs are natural language parsing, sequence alignment in protein homology detection, and markov models for part-of-speech tagging. The SVMstruct algorithm can also be used for linear-time training of binary and multi-class SVMs under the linear kernel.
Update : 2024-04-26 Size : 117760 Publisher : jon
【Documents】 xx DL : 0: 多变量混沌时间序列预测及其在股票市场中的应用硕士论文-Multivariate Chaotic Time Series Prediction and Its Application in the stock market in the master' s thesis
Update : 2024-04-26 Size : 3132416 Publisher : 周寒
【matlab】 Applied multivariate statistics DL : 0: Multivariate statitiscs and their applications
Update : 2024-04-26 Size : 39901184 Publisher : euge
【matlab】 Kalman filter: Multivariate and Univariate DL : 0: This code allows to calculate the recursive kalman filter and to estimate kalman filter. The files are: 1) Calculate recursive univariate kalman filter 2) Calculate recurisve multivariate kalman filter 3) Estimate kalman filter parameters
Update : 2018-11-25 Size : 4381 Publisher : franciscososasotomayor123

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