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mcKLR_mckNN
- This package includes two approaches to multi-class cost-sensitive learning, that is, mcKLR and mckNN. The descr iption of mcKLR can be found in our TPAMI paper and CVPR'08 paper; the descr iption of mckNN can be found in our TPAMI paper. Both approa
svm_matlab_3classes 基于支持向量机的多类分类
- 一个很不错的基于支持向量机的多类分类的matlab程序。-Based on a very good multi-class support vector machine classification of the matlab program.
libsvm-2.88.rar
- LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。,LIBSVM is林智仁Taiwan Univ
stprtool.rar
- 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines,
ocksvm
- 用超球面支持向量机进行多类分类,每个超球面覆盖一个类-Hypersphere support vector machines using multi-class classification
SVM-classifier
- 用matlab实现非线性支持向量机分类器对多类进行分类。-Using matlab to achieve non-linear support vector machine classifier for multi-class classification.
libsvm-mat-2[1].89-3
- svm多分类器，包括多分类和GA算法和PSO算法优化的SVM-svm multi-classifier, including the multi-classification and GA algorithm and PSO algorithm for optimization of SVM
multiboost-0.71.src.tar
- MultiBoost 是c++实现的多类adaboost酸法。与传统的adaboost算法主要解决二类分类问题不同，MultiBoost解决的是多类的分类问题，而并不是把多类转化成二类问题。-MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning
libsvm-2.89
- 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
demosvm
- matlab编写的svm实现多类分类的源代码，训练算法包括OAA算法、OAO 算法、BSVM2算法等。-matlab prepared svm multi-category classification of the source code, training algorithms, including OAA algorithm, OAO algorithm, BSVM2 algorithm.
Multi-classSVMClassifierUtilizingBinaryDecisionTre
- 有关svm 多类的问题，用二叉树来解决的。一篇英文。可以参考。-The svm multi-class problems, and use a binary tree to be resolved. One in English. Can refer to.
multi-class-classification
- 对多类点进行分类，有图像界面，使用了多种分类算法-Points to the many types of classification, there are graphical interfaces, using a variety of classification algorithms
Queuingtheorytooptimizeprogram
- 基于M/G/K 多类别共用一个资源的最优化分配问题程序 主要以系统总等待时间为目标函数-Based on M/G/K multi-class share an optimization of resources allocation process is essentially the system as the objective function the total waiting time
bayesianMLP
- Bayesian Multi Layer Perceptron Neural Network
2-Class
- 多类划分 matlab中使用数据挖掘的实例一个 方便新人参考-Matlab data mining multi-class classification
SPIDER_mclass
- Multi-class Coding (adapted from from LS-SVM for SPIDER). Encode (code_MOC, code_ECOC, code_OneVsAll, code_OneVsOns) and decode (codedist_hamming, codedist_bay) a multi-class classification task into multiple binary classifiers.
credit-rating-using-multi-class-SVM
- 一個基於多類支援向量機的應用，將支向機應用在企業之信用評比上，能使企業得知自身所具有之優勢與劣勢，藉由改善不足之處來提升企業本身信用。-A corporate credit rating model using multi-class support vector machines to do more effective actions in performance
Multi-class-SVM-Image-Classification
- 基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural ne
multi-class-problem
- 将多类别问题分解成多个二类别问题是解决多类别分类问题的常用方式。传统one against all（OAA）分解方式的性能更多的依赖于个体分类器的精度，而不是它的差异性。本文介绍一种基于集成学习的适于多类问题的神经网络集成模型，其基本模块由一个OAA方式的二类别分类器和一个补充多类分类器组成。测试表明，该模型在多类问题上比其他经典集成算法有着更高的精度，并且有较少存储空间和计算时间的优势。-Decompose multi-class problem into multiple binary cl
Multi-class
- 监督学习多分类matlab实现，源码及讲解，很好的学习资料-Multi-supervised learning classification matlab realization, source code and explanation, good learning materials