搜索资源列表
SVM
- 在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, an
machine-learning
- python3实现各种机器学习算法，包括knn算法，决策树算法，SVM算法，朴素贝叶斯算法等-Python3 realize all kinds of machine learning algorithms, including KNN algorithm, the decision tree algorithm, the SVM algorithm, naive bayesian algorithm, etc
matlab
- 用于SVM实现不同算法对不同数据集性能测试的MATLAB代码，包括离线，在线算法。-SVM implement different algorithms for different data sets to performance testing MATLAB code, including offline and online algorithms.
Matlab
- 1.计算两类样本的隶属度；2.使用quadprog函数求解svm的拉格朗日乘子；3.主成份分析-1.caculate the membership of 2 samples；2.use quadprog function to get the lagrangian multiplier；3.principle component analasys
SVM_liner_kernel
- 这是SVM算法的一个简单应用，用SVM进行线性二分类。此算法可以帮助大家从基础上认识SVM，从而进行编程。-This is a simple application of SVM algorithm, using a linear SVM binary classification. This algorithm can help you recognize the basis of SVM, which can be programmed.
svm
- svm 分类算法 java源代码 很好的学习程序-svm classification algorithm java source code is a good learning program
v15i09
- 基于SVM的回归分析，以及其R语言中的四个安装包-Currently four R packages contain SVM related software. The purpose of this paper is to present and compare these implementations.
24567507qpso-svm
- 一个粒子群优化的支持向量机，运行过的，很好用，供初学者参考-A particle swarm optimization support vector machine (SVM), running, useful, reference for beginners
SVM
- SVM多分类算法的一些程序，有很多种类型，包括经典的四种工具箱，还有代价敏感支持向量机，超球面支持向量机等-Some programs about SVM multi-classification algorithm, there are many types, including the classic four toolbox, as well as the price-sensitive support vector machine, hypersphere support vector
SVM-intrduction
- svm支持向量机的基础导论，纯理论学习，没有附带源码-Introduction to support vector machines svm basis, purely theoretical study, does not come with source code
SVM
- matlab svm 代码 小型代码模拟-matlab svm code is small code simulates
svm
- 最经典的机器学习方法svm分类器的python实现-The most classic machine learning svm classifier python realization
SVM-introduction
- SVM浓缩讲稿，精简地介绍了svm的基本概念和理论，有助于新手理解和学习。-SVM speech introduces the basic principles and core concepts SVM to help the novice to learn and understand.
SVM-timeseries
- 基于SVM的时序序列预测，用python实现，内附测试数据，方便可用。-SVM prediction based on a timing sequence with python to achieve, enclosing the test data to facilitate available.
svm
- python，svm支持向量机例子。里面有文档和源码。-python, svm support vector machine example. There are documents and source code.
EMD-svm
- 使用emd和svm进行预测使用svm进行预测使用 emd和svm进行预测使用svm进行预测-Predicting with emd and svm Predicting with svm Predicting with emd and svm Predicting with svm Predicting with emd and svm Predicting with svm
SVM-KM
- 支持向量机与核学习工具箱，用于数据挖掘中核方法开发的必备工具，如支持向量机、极限学习机等。-Support vector machine (SVM) and nuclear learning toolkit for nuclear method development of necessary tools in data mining, such as support vector machine (SVM), extreme learning machine, etc.
Code-SVM-implementation
- R Code for SVM implementation
py脚本
- svm支持向量机，包括训练数据，训练代码和测试代码(SVM support vector machines, welcome to download, including the data set)
svm
- 该代码实现了经典的SVM支持向量机算法，Python语言编写，产生结果图。(This code implements the classic SVM support vector machine algorithm, Python language, and produces the result graph.)