搜索资源列表
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一个用于支持向量机以及机器学习的软件机器源代码-a support vector machine, and machine learning software source code machine
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VC的支持向量机（SVM）静态链接库（LIB）-VC Support Vector Machine (SVM) static link library (LIB)
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用VC++编程支持向量机源码可用，好用，很好用-VC Programming Support Vector Machine source available, convenient, good use
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支持向量机的测试代码，包含对矩阵的各种运算算法-Support vector machine test code, including a variety of operations on the matrix algorithms
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关于libsvm的CSharp代码，利用c#实对支持向量机的学习-About libsvm of CSharp code to use c# real pairs of support vector machine learning
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最小支持向量机中BRF核函数来解决实际分类问题-BRF minimum support vector machine classification of kernel function to solve real problems
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数个支持向量机算子，能够方便的封装到自己程序使用-Number of support vector machine operator can easily use the package to their program
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svm在c语言环境下的实现，较好地实现了支持向量机的功能。-support vector machine algorithm for c++.
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支持向量机程序，可用于判断、逻辑、预测、分类-Support vector machine procedures can be used to determine, logic, prediction, classification, etc.
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利用核函数进行遥感图像的分类，本程序再支持向量机的基础上引入了核函数进行图像分类，是分类效果更加明显-Use of nuclear function remote sensing image classification, the program no longer support vector machine based on the introduction of the kernel function for image classification, classification eff
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支持向量机在解决小样本、非线性及高维模式识别中表现出许多特有的优势。-Support vector machine (SVM) in tackling small sample, nonlinear and high dimensional pattern recognition show many unique advantages.
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為支持向量機之函式庫，可做分類應用，內部可選擇分類器的類型及核函數，對於學習支持向量機有很大的幫助-Support vector machines for the library, do classification applications, optional internal classification of the type and kernel function for support vector machine learning of great help
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Jurkat和Ramos两类细胞光学衍射图像特征提取和分类；Visual C++语言；通用模块使用；支持向量机。-Jurkat and Ramos cells optical diffraction image feature extraction and classification Visual c++ language General module USES Support vector machine (SVM).
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C++编写的支持向量机完整代码，含测试、训练数据集。-Written in C++ support vector machine complete code
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基于hog特征与支持向量机的方式，使用opencv自带的haar特征分类器，检测人脸-Adapt to hog feature and support vector machine (SVM) method, based on positive and negative samples opencv training face,
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此段代码是最小二乘支持向量机的源代码，功能是实现某些样本数据的预测-This code is the least squares support vector machine (SVM) of the source code, function is to realize the prediction of some sample data
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用于优化支持向量机参数c/g的模拟退火法-It used to optimize the parameters of support vector machine simulated annealing
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