搜索资源列表
SVM
- 通过支持向量机进行分类,实现了有监督的分类计算。-Through the support vector machine (SVM) classification, supervised classification calculation is realized.
mechine-learning
- 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。 全书通过精心编排的实例,切入日常工作任务,摒弃学术化语言,利用高效的可复用Python代码来阐释如何处理统
SVM
- 使用支持向量机算法对二分类问题进行预测,实现大数据分析的目标。(Support vector machine algorithm is used to predict the two classification problem, and achieve the goal of large data analysis.)
mvrvm_matlab
- rvm回归预测 RVM采取是与支持向量机相同的函数形式稀疏概率模型,对未知函数进行预测或分类。(Rvm regression prediction)
hog_svm
- 利用HOG算子提取特征,利用支持向量机进行分类,得到了较好的图像分割效果(Using HOG operator to extract features, using support vector machine to classify, get a better image segmentation effect)
SVC
- 分类作为数据挖掘领域中一项非常重要的任务,它的目的是学会一个分类函数或分类模型(或者叫做分类器),而支持向量机本身便是一种监督式学习的方法(Classification mining is a very important task in the field, the purpose of it is to learn a classification function or classification model (or called classifier), and support vec
svmcls
- 李荣陆老师做的文本分类器,特征选择方式包括全局和按类别选取,概率估算方法支持基于文档(布尔)统计和基于词频统计,支持三种特征加权方式,特征评估函数包括信息增益、互信息、期望交叉熵、X^2统计,文本证据权重,右半信息增益,分类方法包括支持向量机SVM和K近邻KNN,(text classifier that was written by Li Ronglu)
SVM
- 配置opencv库,SVM训练和分类,显示分类结果,和支持向量机。对于初学者了解SVM分类器由一定帮助(Configure the opencv library, SVM training and classification, display classification results, and support vector machines. For beginners understand the SVM classifier by some help)
XBCLNE
- 一个支持向量机的matlab工具箱,具有分类,拟合等功能,希望大家下载研学阿!(A matlab toolbox, support vector machine (SVM) classification, the function such as fitting, hope everyone to download research study!)
33754289
- 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取,(MATLAB prepared by the SVM source program, can realize the support vector machine (SVM), used for extracting feature classification or,)
ingineering
- 用matlab编写的用语分类的支持向量机 不错的源码 很好(Using matlab language classification support vector machine (SVM) good source is very good)
libsvm-3.21
- SVM(Support Vector Machine)指的是支持向量机,是常见的一种判别方法。在机器学习领域,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。(SVM (Support Vector Machine) refers to the support vector machine, is a common method of discrimination. In the field of machine learning, it is a supervised lear
SVMcgForClass.m
- 二分类,参数寻优 matlab 支持向量机(Two classification)
高风代码
- 本内容是有关机器学习的包含贝叶斯分类器,随机森林,支持向量机,神经网络,logistic多元回归等(The contents of this paper are machine learning, including Bayesian classifier, random forest, support vector machines, neural network, logistic multiple regression and so on)
LS_SVMlab
- 最小二乘支持向量机lssvmMATLAB代码可以实现分类和回归处理(Least squares support vector machine lssvmMATLAB code can be achieved classification and regression processing)
智能算法应用
- 整理支持向量机、BP神经网络的基本原理,便于分类、预测问题的解决。(Sort out the basic principle of support vector machines, easy to classify and predict the solution of problems.)
41695068SVM
- 支持向量机的matlab程序,支持向量机的分类算法(Support vector machine matlab program, support vector machine classification algorithm)
73462685svm
- 关于matlab图像处理 识别 分类 神经网络 支持向量机(About MATLAB image processing, recognition, classification)
HOG
- 将这330个3780维的HOG特征当做测试样本,用支持向量机(SVM)分类器来判别出,这些窗口的HOG特征是否有行人,有行人的用矩形框标记起来。HOG行人特征及所对应的SVM分类器的参数,在opencv中已经训练好了,我们只需要得到HOG特征,然后调用SVM即可得到判别结果(The 330 Hera features of 3780 dimensions are used as test samples, and the support vector machine (SVM) classifi
SVM
- 用于与支持支持向量机的方法将数据数据分类用于 MATLAB程序(Used in conjunction with methods that support support vector machines to classify data data for MATLAB programs)