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svm-light
- svm分类的算法 速度比其他的快一点 需要再做比较 交流 希望能得到更多的资料-SVMmulticlass uses the multi-class formulation described in [1], but optimizes it with an algorithm that is very fast in the linear case
SVM-hssvm1.0.1
- HSSVM是一个用超球SVM(Hyper-Sphere Support Vector Machines)模型求解多分类问题的工具包,采用Java语言实现。开发该程序的主要目的,是利用超球SVM求解模型代替传统上借助于解二分类问题的经典SVM模型来求解多分类问题。本文将论述该程序的主要实现细节,包括相关算法及设计原理的描述。-HSSVM is an ultra ball SVM (Hyper-Sphere Support Vector Machines) to solve multi-classi
MATLAB-SVM
- MATLAB-SVM 决策算法(有向无环图)-MATLAB-SVM decision-making algorithm (directed acyclic graph)
Based-on-SVM-speaker-recognition
- 基于SVM的文本无关说话人识别算法研究,本文在最后用Matlab程序实现了一个基于支持向量机的说话人识别系统试验平台。并根据对参试者进行的大量身份测试试验,总结系统的各方面性能和分析存在的问题,为进一步研究提供了方向和宝贵的经验。 -SVM-based text independent speaker recognition algorithm, the paper used in the final implementation of a Matlab program based on
SVM-KM
- 基于MATLAB平台的 KM-SVM算法源码-Kernel Methods for Pattern Analysism based on matlab
ATR-7-SVM
- SVM算法的介绍性PPT,主要介绍SVM算法以及编程举例。-SVM algorithm introductory PPT, introduces the SVM algorithm and programming examples.
AdaBoost-SVM-paper
- 基于adaboost 和svm 的检测算法研究,论文来的 里面用到opencv的相关库-AdaBoost SVM paper
svm
- svm源程序 SMO算法 多种SVM类型-SMO algorithm for svm source type multiple SVM
SVM
- 该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法-The kit includes two
SVM-RFE
- 基因选择算法 SVMRFE 基因选择算法 SVMRFE-Gene selection algorithm SVMRFE gene selection algorithm SVMRFE gene selection algorithm SVMRFE
four-svm-toolbox
- 四种SVM工具箱的分类与回归算法:包括LS_SVMlab,OSU_SVM3.00,stprtool_svm,SVM_SteveGu-Four kinds of SVM classification and regression algorithm toolbox include: LS_SVMlab, OSU_SVM3.00, stprtool_svm, SVM_SteveGunn
CE-method-based-SVM
- CE method based SVM 算法-CE method based SVM
matalab-svm
- 神经网络里面的SVM算法 matalab语言编译已经通过-Neural network inside the SVM algorithm matalab compiler has passed
svm
- 神经网络matlab svm算法 编译已经通过-Neural network matlab svm algorithm has been compiled by
SVM
- 介绍了支持向量机(SVM)中广泛采用的算法-分解算法 ,总结了其收敛性证明的 总体思路并对目前最流行的 SVM算法库LIBSVM进行了详细的分析与研究-Describes support vector machine (SVM) algorithm is widely used- decomposition algorithm, summed up the general idea of the convergence proof and the most pop
Study-of-SVM
- 学习SVM算法很好的一个ppt,建议大家看看。-SVM Algorithm
svm
- matlab实现的svm算法,调用fmincon函数优化-using svm to classify two kinds datas
text_classification_using-svm
- 关于svm支持向量机的比较权威的论文,详细介绍了svm算法的原理及其在文本分类中的应用-Authoritative papers for Svm support vector machines , detailing the algorithm and its application in svm text classification application
SVM
- 该程序为MATLAB源码,使用SVM算法(简易实现)进行分类。-Classify using (a very simple implementation of) the support vector machine algorithm
svm-ses
- 分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器,分别画出决策面,并比较性能。-The machine algorithm respectively perception, the minimum square error algorithm, linear SVM classifier algorithm design, respectively, draw the decision surface, and compare the performance.