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关于统计学习理论与支持向量机- About statistical study theory and support vector machine
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是一个用MATLAB编的一个系统，是关于各个神经我网络模型和支持向量机的软件包-using MATLAB is a part of a system of various neural network model and I support vector machine packages
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支持向量机方法，用matlab实现，用于分类检测、模式识别，人脸检测等-Support Vector Machine method, the realization of Matlab for the detection and classification, pattern recognition, face detection
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libsvm-2.5程序代码导读 这是一个中文版的针对支持向量机源程序libsvm-2.5代码导读文档,由个人经验所得, 为您看libsvm程序省了不少的力气!非常难得!-libsvm-2.5 code Guide This is a Chinese version of the Support Vector Machine against libsvm source-code Guide 2.5 files, from personal experience, you see libsvm p
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支持向量机分类器（可分类文本，编的非常不错）-The uploaded Support Vector Machine (SVM) Classifier can classify text-type data well.
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一个SVM的MATLAB工具箱,Support Vector Machine toolbox for Matlab
Version 2.51-A matlab toolbox of SVM,Support Vector Machine toolbox for Matlab Version 2.51
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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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支持向量机的SMO算法VC实现,在模式识别和
许多方面很有用-support vector machine algorithm VC SMO, in pattern recognition and useful in many ways
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--- -一个介绍支持向量机的文档。
认真读一读，会有收获的。---- ---- introduced a Support Vector Machine documents. Seriously read, there will be rewarding.
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完整的包括皮肤及动作识别的C++人脸检测源代码，涉及的技术有：小波分析，尺度缩减模型（PCA,LDA,ICA），人工神经网络（ANN），支持向量机（SVM），SSE编程，图像处理，直方图均衡，图像滤波，C++编程等。-Complete, including skin and actions identified C++ face detection source code, the technology involved are: wavelet analysis, scaling down m
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lssvm即最小二乘向量机，可以处理有关lssvm的相关问题- lssvm, the least squares vector machines, can handle issues related to the lssvm
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神经网络支持向量机程序，用于模式识别,预测-Neural network support vector machine program for pattern recognition, prediction
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introduction to support vector machine
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支持向量机的源码，在opencv2.3.1里亲测，线性的-Source of support vector machine in opencv2.3.1 pro-test, linear
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Machine Learning is considered as a subfield of Artificial Intelligence and it is concerned with the development of techniques and methods which enable the computer to learn. In simple terms development of algorithms which enable the machine to learn
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支持向量机（SVM）是与相关的学习算法有关的监督学习模型，可以分析数据，识别模式，用于分类和回归分析。-Support Vector Machine (SVM) is associated with learning algorithm related supervised learning model, you can analyze data, identify patterns, used for classification and regression analysis.
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用于机器学习的全方位python代码，包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据：回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
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斯坦福大学机器学习课程作业第六章，主要包含支持向量机算法实战。-Chapter 6 of the Stanford University machine learning course, mainly includes support vector machine algorithm combat.
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支持向量机非线性回归通用matlab程序 支持向量机和BP神经网络非线性回归之比较研究,-Support vector machine (SVM) general matlab nonlinear regression support vector machine (SVM) and BP neural network nonlinear regression of the comparative study,
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In this section, we mainly review the support vector machine system and implement it through Python
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