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[Mathimatics-Numerical algorithmsmultivariate

Description: 《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.
Platform: | Size: 1644544 | Author: 刘宏 | Hits:

[File Operate离差阵(good)

Description: 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.
Platform: | Size: 39936 | Author: | Hits:

[Algorithm20061511851148

Description: 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
Platform: | Size: 200704 | Author: | Hits:

[Data structsPyChem

Description: 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
Platform: | Size: 97280 | Author: star | Hits:

[matlab4wayMVA

Description: GUI for Multivariate Image Analysis of 4-dimensional data (Matlab Code)-GUI for Multivariate Image Analysis of 4-d imensional data (Matlab Code)
Platform: | Size: 592896 | Author: 廖智茗 | Hits:

[Graph Recognizebayescode1

Description: 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.
Platform: | Size: 39936 | Author: kun | Hits:

[matlabMultivariateGaussianMixtureModelOptimizationbyCros

Description: Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
Platform: | Size: 387072 | Author: 阳关 | Hits:

[matlabsbgcop_0.95.tar

Description: 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
Platform: | Size: 5120 | Author: cy | Hits:

[AI-NN-PRsvm_perf.tar

Description: 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.
Platform: | Size: 87040 | Author: 张山 | Hits:

[Graph programPCA-based_Similarity_Measurefor_Multivariate_Time_

Description: 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
Platform: | Size: 169984 | Author: | Hits:

[Windows Developpcahao

Description: /* 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:
Platform: | Size: 5120 | Author: lrx | Hits:

[source in ebookBOOKMultivariateAnalysis

Description: 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
Platform: | Size: 55296 | Author: water | Hits:

[Otherarstepfit

Description: Stepwise least squares estimation of multivariate AR model
Platform: | Size: 2048 | Author: Rob | Hits:

[Othersuijiguocheng

Description: 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
Platform: | Size: 10240 | Author: 290412725 | Hits:

[matlabMultivariate-statistical

Description:
Platform: | Size: 164864 | Author: 苏云 | Hits:

[matlabfsmem_mvgm

Description: 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
Platform: | Size: 220160 | Author: ewizlab | Hits:

[Othersvm_perf

Description: 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.
Platform: | Size: 117760 | Author: jon | Hits:

[Documentsxx

Description: 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
Platform: | Size: 3132416 | Author: 周寒 | Hits:

[matlabApplied multivariate statistics

Description: Multivariate statitiscs and their applications
Platform: | Size: 39901184 | Author: euge | Hits:

[matlabKalman filter: Multivariate and Univariate

Description: 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
Platform: | Size: 4381 | Author: franciscososasotomayor123 | Hits:
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