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找到约 136 项符合 Classification 的查询结果

人工智能/神经网络 Support Vector Machines is a powerful methodology for solving problems in nonlinear classification a

Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression. It is a matlab version.
https://www.eeworm.com/dl/650/161538.html
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数学计算 Detailed analysis of the clustering and classification : including density clustering, etc.

Detailed analysis of the clustering and classification : including density clustering, etc.
https://www.eeworm.com/dl/641/161721.html
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其他书籍 SVM for Classification and Regression,其文中附有相应的网址

SVM for Classification and Regression,其文中附有相应的网址,并可以下载SVM,结合相应的实例进行讲解
https://www.eeworm.com/dl/542/184525.html
下载: 48
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matlab例程 MUSIC(Multiple Signal Classification)算法圆阵仿真程式

MUSIC(Multiple Signal Classification)算法圆阵仿真程式
https://www.eeworm.com/dl/665/355385.html
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matlab例程 MUSIC(Multiple Signal Classification)算法线阵仿真程式

MUSIC(Multiple Signal Classification)算法线阵仿真程式
https://www.eeworm.com/dl/665/355387.html
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人工智能/神经网络 ddtool,实现one class classification.包括gaussian 模型

ddtool,实现one class classification.包括gaussian 模型, gaussian 混合模型,Parzen density,knn,kmean,kcenter等方法
https://www.eeworm.com/dl/650/400576.html
下载: 136
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人工智能/神经网络 neural network source, a relatively new algorithm, better classification results!

neural network source, a relatively new algorithm, better classification results!
https://www.eeworm.com/dl/650/407117.html
下载: 138
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数学计算 THis is part algorithm which is data base classification algorithm implemented in java

THis is part algorithm which is data base classification algorithm implemented in java
https://www.eeworm.com/dl/641/413147.html
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其他 source code for pattern classification k nearest neighbor source code

source code for pattern classification k nearest neighbor source code
https://www.eeworm.com/dl/534/440394.html
下载: 146
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数值算法/人工智能 Rainbow is a C program that performs document classification usingone of several different methods,

Rainbow is a C program that performs document classification usingone of several different methods, including naive Bayes, TFIDF/Rocchio,K-nearest neighbor, Maximum Entropy, Support Vector Machines, Fuhr sProbabilitistic Indexing, and a simple-minded form a shrinkage withnaive Bayes.
https://www.eeworm.com/dl/518/124048.html
下载: 182
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