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GPCsoft
- 高斯过程分类程序，运用拉普拉斯近似来实现二分类和多分类功能。-Implements Laplace s approximation for binary and multiclass classification.
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
Classification_OSU_SVM
- 是一种支持向量机的改进，能进行多类分类，解决了原SVM二分类的缺陷-Is a kind of support vector machine (SVM) improvement, can multiclass classification, solve the two original SVM classification of defects
EmotionClassification
- SPEECH-BASED EMOTION CLASSIFICATION USING MULTICLASS SVM WITH HYBRID KERNEL AND THRESHOLDING FUSION-SPEECH-BASED EMOTION CLASSIFICATION USING MULTICLASS SVM WITH HYBRID KERNEL AND THRESHOLDING FUSION
plane-rotation
- Advanced correlation filter synthesis algorithms to achieve rotation invariance are described. We use a specified form for the filter as the rotation invariance constraint and derive a general closed-form solution for a multiclass rotation-invariant
jsgd-61
- 该代码采用matlab和C混合编写，是采用随机梯度的方法训练线性分类器，它可用于数据、图像等的多类分类情况。参考论文：Good Practice in Large-Scale Learning for Image Classification-This a Stochastic Gradient Descent algorithm used to train linear multiclass classifiers. It is biased towards large classificat
Support-Vectror-Machine
- multiclass support vector machine using libsvm
multisvm
- Matlab code for multiclass Classification using inbuilt SVMClassify function.
multisvm
- Matlab code for multiclass svm
multiclass
- 利用SVM进行多分类的matlab 程序，m文件-Multi classification by using SVM matlab program, the m file
svm-matlab-
- 支持向量机的源代码，可以实现分类和回归分析。-ctions on Intelligent Systems and Technology ABSTRACT LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM t
td_one_vs_rest_multiclass_classifier
- One vs rest multiclass classifier
multisvm
- MULTICLASS SVM FOR FACE EXPRESSION RECOGNITION
libol_v0.3.0
- 最先进的在线学习算法,用于机器学习和数据挖掘研究。目前它支持30 +在线线性算法和变异二进制分类和多级分类任务-consists of a large family of state-of-the-art online learning algorithms for machine learning and data mining research. Currently it supports 30+ online linear algorithms and variants for binar
SVM_lzb1p0
- 这里实现了四种SVM工具箱的分类与回归算法 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtool\svm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGu
MSVM
- multiclass svm implemented code from online
SVM+GUI+V3.1[mcode]
- 基于多类的支持向量机SVM的算法简单介绍(Based on multiclass support vector machines, SVM algorithm is introduced briefly)
Source Code
- K Nearest Neighbor, Bayes, Naive Bayes Classifier for Multiclass Problem.
BP神经网络多分类部分补充
- 这个是上一个java实现二分类的补充，兼容了二分类和多分类。(a neural network to solve multiclass division which implemented with java)
Multi-Class BCI
- 全面总结多分类BCI的实验范式，具有很好的指导作用(A comprehensive summary of the experimental paradigm of multiclass BCI has a good guiding role.)