搜索:multivariate

找到约 15 项符合「multivariate」的查询结果

结果 15
https://www.eeworm.com/dl/502235.html 技术书籍

Modern Multivariate Statistical Techniques

Multivariate Analysis
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https://www.eeworm.com/dl/650/133885.html 人工智能/神经网络

用于multivariate时间序列分类

用于multivariate时间序列分类,利用了weka机器学习系统(本站可下载)
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https://www.eeworm.com/dl/534/441178.html 其他

Stepwise least squares estimation of multivariate AR model

Stepwise least squares estimation of multivariate AR model
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https://www.eeworm.com/dl/641/400645.html 数学计算

basic linear algebra classes and applications (SVD,interpolation, multivariate optimization)

basic linear algebra classes and applications (SVD,interpolation, multivariate optimization)
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https://www.eeworm.com/dl/650/146380.html 人工智能/神经网络

GUI FOR GENERATING MULTIVARIATE RANDOM VARIABLES FROM MIXTURE的matlab实现

GUI FOR GENERATING MULTIVARIATE RANDOM VARIABLES FROM MIXTURE的matlab实现
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https://www.eeworm.com/dl/665/161505.html matlab例程

GUI for Multivariate Image Analysis of 4-dimensional data (Matlab Code)

GUI for Multivariate Image Analysis of 4-dimensional data (Matlab Code)
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https://www.eeworm.com/dl/540/397337.html 软件工程

Random Process e-Books the rationale (basic principle ) about multivariate probability and so on

Random Process e-Books the rationale (basic principle ) about multivariate probability and so on
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https://www.eeworm.com/dl/665/237675.html matlab例程

Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to

Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
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https://www.eeworm.com/dl/542/266861.html 其他书籍

MATLAB工具箱:多变量校核技术 TOMCAT A MATLAB toolbox for multivariate calibration techniques

MATLAB工具箱:多变量校核技术 TOMCAT A MATLAB toolbox for multivariate calibration techniques
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https://www.eeworm.com/dl/650/289495.html 人工智能/神经网络

New training algorithm for linear classification SVMs that can be much faster than SVMlight for larg

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.
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