Description: 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 Platform: |
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Author:林升梁 |
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Description: 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 Platform: |
Size: 2125 |
Author:韩乐 |
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Description: 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 procedures save a lot of time and energy! Very rare! Platform: |
Size: 73387 |
Author:陈爱斌 |
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Description: --- -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. Platform: |
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Author:123 |
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Description: 支撑向量机算法的一种改进算法，是基于增量学习的算法-Support Vector Machine Algorithm an improved algorithm is based on the incremental learning algorithm Platform: |
Size: 81598 |
Author:黄瑞 |
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Description: 支撑向量机库libsvm与matlab的接口,可以连接在matlab中做实验!-Support Vector Machine for libsvm with Matlab interface can be connected to the experimental Matlab do! Platform: |
Size: 68380 |
Author:付波 |
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Description: 多类支持向量分类机，可避免两类支持向量分类机的相关缺点，实现多类分类-Multi-Class Support Vector Machine, we can avoid two kinds of support vector machine classification of defects, multi-category classification Platform: |
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Author:师花 |
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Description: 本书第一部分主要介绍机器学习基础，以及如何利用算法进行分类，并逐步介绍了多种经典的监督学习算法，如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树（CART）算法等。第三部分则重点介绍无监督学习及其一些主要算法：k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具。-
In the first part, mainly introduced the machine learning base, and how to use the algorithm to classify, and gradually introduced the variety of classical supervised learning algorithms such as k-nearest neighbor, naive Bayes algorithm, logistic regression algorithm, support vector machine (SVM) and AdaBoost ensemble method, based on the regression tree algorithm and classification and regression tree (CART) algorithm. The third part focuses on unsupervised learning and some of the main algorithms: K mean clustering algorithm, Apriori algorithm, FP-Growth algorithm. The fourth part introduces some tools of machine learning algorithm. Platform: |
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Author:孙伟 |
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Description: 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. Platform: |
Size: 482304 |
Author:张忠鸽 |
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Description: In this section, we mainly review the support vector machine system and implement it through Python Platform: |
Size: 43008 |
Author:weir700 |
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