搜索资源列表
支持向量机,用于分类和预测
- 一类支持向量机,用于分类和预测,里面代码使用matlab编程,One-Class Support Vector Machine for classification and prediction, which code to use matlab programming
SVM.SVM支持向量机的时间序列预测
- SVM支持向量机的时间序列预测、分类、自回归代码,SVM
SVM_SteveGunn.rar 支持向量机的程序
- 支持向量机的程序,可以进行分类和回归,效果比神经网络好,没有维数灾难的问题,是比较好的建模方法。,Support vector machine procedures can be carried out the classification and regression, the effect better than the neural network, there is no dimension disaster problem, it is more good modeling metho
bishechengxu
- 关于支持向量机分类、回归、模糊支持向量机的程序-On support vector machine classification, regression, fuzzy support vector machine procedures
119128684sc
- 支持向量机分类工具箱算法-Support Vector Machine classification algorithm toolbox
svm_v0.55
- 支持向量机分类,可用于人工智能,模式识别,数据挖掘,时间序列预测-Data aggregation processing
SVDA
- 基于支持向量机分类算法,经试验效果不错,取得了很好的分类效果-Classification algorithm based on support vector machine, after test results, well, and achieved very good classification results
SVMcg
- 用matlab实现支持向量机分类算法,通过对数据进行测试训练来进行分类-Using matlab implementation support to the classification algorithms to data, through testing and training to categorize
KPCA_SVM_Train-jkk
- 主成分、支持向量机分类,matlab编写的-Principal component, support vector machine classification, matlab prepared
支持向量机的相关简介
- 支持向量机主要解决了分类问题和回归问题两大类
支持向量机分类模型-例2
- 支持向量机MATLAB案例,有数据和说明(SVM MATLAB code with data and descr iption)
支持向量机分类模型-例1
- 支持向量机MATLAB案例,消费类型分类,有数据和说明。(svm MATLAB code with data)
支持向量机1
- 了解支持向量机的基本原理,用于分类和预测。(Understand the basic principles of support vector machines.)
支持向量机2
- 了解支持向量机的基本原理,便于分类、预测问题的解决。(Understanding the basic principles of support vector machines, easy to classify and predict the solution of problems.)
08支持向量机的分类
- 支持向量机的分类,自己编写,亲手注释,效果不错,带效果图(Support vector machine classification, write their own, personally annotated, the effect is good, with effect diagram)
支持向量机(ML in action)整理
- Python实现支持向量机的算法,拟合和分类,包括0-9数字识别(Python implements the algorithm, fitting and classification of support vector machines, including 0-9 digital recognition)
支持向量机(Support Vector Machine, SVM)
- 支持向量机(support vector machine,SVM)是由Cortes和Vapnik在1995年提出的,由于其在文本分类和高维数据中强大的性能,很快就成为机器学习的主流技术,并直接掀起了“统计学习”在2000年前后的高潮,是迄今为止使用的最广的学习算法。(Support vector machine (support vector machine, SVM) is proposed by Cortes and Vapnik in 1995, because of its powerf
高级分类器:支持向量机( SVM)
- 利用R语言实现高级分类器,支持向量机( SVM)(Advanced classifier, support vector machine (SVM))
支持向量机( SVM)
- 支持向量机凸优化例子,利用支持向量机算法建立分类模型的例子(An example of support vector machine convex optimization and an example of using support vector machine to establish a classification model)
支持向量机matlab
- 支持向量机 MATLAB 源代码 图像分类(Support Vector Machine MatLAB Source Code Image Classification)