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Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It can solve C-SVM classification,
nu-SVM classification, one-class-SVM, epsilon-SVM regression, and
nu-SVM regression. It also provides an automatic
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0下载：
libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic mo
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最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, \"The Nature of Statistical Learning Theory\", Springer-Verl
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支持向量机的代码库，使用简单，主要用途是基于支持向量机的分类和回归。还包括C-SVM，nu-SVM，一类SVM，epsilon回归等功能。它还提供了用于C-SVM的自动模型选择工具。-Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-
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0下载：
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic mo
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支撑向量机SVM的工具LIBSVM，能够在windows平台下通过命令行使用，也可以在matlab下调用，适合于研究复杂条件下的分类问题-Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM
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0下载：
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic mo
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library for SVMclassification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification.
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是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEA
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A distributed PSOSVM hybrid system with feature selection and parameter optimization
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This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to
improve the clas
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台湾林智仁编写的支持向量机开源程序，可用于分类（C-SVC，nu-SVC，one-class SVM）和回归（epsilon-SVR，nu-SVR）。这是最新版本3.0。-Libsvm3.0 is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-cla
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本文通过对Bayes、KNN、SVM 应用于中文文本分类进行比较实验研究。
应用ICTCLAS 对中文文档进行分词，在大维数，多数据情况下应用TFIDF 进行
特征选择，并同时利用它实现了对特征项进行加权处理，使文本库中的每个文本
具有统一的、可处理的结构模型。然后通过三类分类算法实现了对权值数据进行
训练和分类。-Based on the Bayes, KNN, SVM applied to compare the Chinese text ca
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机器学习matlab源代码，包括多分类SVM，模式识别，特征选择，回归等算法。-The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with
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1采用遗传算法对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征进行特征选择，并基于所得到的最佳特征采用SVM设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。提示：可以用6位的0/1进行编码，适应度函数可以考虑类似 。-1 genetic algorithm for boys and girls in the sample data of height, weight, like math, like literature, like
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1.采用遗传算法对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征进行特征选择，并基于所得到的最佳特征采用SVM设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。要求自行编写代码实现遗传算法。(1. using genetic algorithm based on the sample data of male and female students in height, weight, love mathematics, love li
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