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courseassignment3
- 线性分析,自己的作业,用于fisher的线性分类器-linear analysis, its own operations, for the fisher linear classifier
fisher
- 这是一个模式是别里的关于fisher算法实现的广义线性分类器-This is a model other fisher Lane on the algorithm of generalized linear classifier
Fisher
- 用MATLAB做的Fisher线性分类器，处理脑电信号，数据为bci竞赛数据-MATLAB to do with Fisher linear classifier, EEG signal processing, data race data for the bci
fisher
- fisher线性分类器！分类是模式识别中重要的一个步骤！-fisher linear classifier! Pattern recognition classification is an important step!
LinearSVC
- Construct a linear SVM classifier from the training Samples and Labels
PolySVC
- Construct a non-linear SVM classifier with a polynomial kernel from the training Samples and Labels
SVM
- 线性支撑矢量机分类器 对模式识别问题中的线性可分问题进行分类-Linear support vector machine classifier pattern recognition problems in the linear separable classification
winnow
- winnow线性分类器关于天气的一个算法-winnow linear classifier algorithm on a weather
Adaboost(CPP)
- AdaBoost 是一种将弱分类器线性结合成强分类器的方法，由Jiri Matas 和 Jan Sˇ ochman提出-AdaBoost is a linear combination of the weak classifiers into a strong classifier method, by Jiri Matas and Jan S ochman proposed
SVM_GUI_3.1[mcode]{by-faruto}
- 支持向量机SVM(Support Vector Machine）作为一种可训练的机器学习方法，依靠小样本学习后的模型参数进行导航星提取，可以得到分布均匀且恒星数量大为减少的导航星表。 基本情况 Vapnik等人在多年研究统计学习理论基础上对线性分类器提出了另一种设计最佳准则。其原理也从线性可分说起，然后扩展到线性不可分的情况。甚至扩展到使用非线性函数中去，这种分类器被称为支持向量机（Support Vector Machine，简称SVM）。支持向量机的提出有很深的理论背景。 支持向量机
fenleiqi
- 线性分类器的设计 导入EXCEL表格 模式识别课程-Linear classifier design into EXCEL spreadsheet pattern recognition programs
data_generator
- 大数据的贝叶斯分类线性分类器Large data Bias classification of linear classifier-Large data Bias classification of linear classifier
twoclassflq
- 模式识别线性分类器设计,用C语言写的模式识别大作业。-Pattern recognition linear classifier design, written in C language pattern recognition big job.
LDA
- 本程序是一个线性判别式分析(LDA)分类器程序.里面有完整的源码-This procedure is a linear discriminant analysis (LDA) classifier program. There is a complete source code
machine-learning-ex1
- 在模式识别众多分类器中一种根据收敛性质实现的线性回归模型-In many pattern recognition classifier one according to the convergence property of the linear regression model
39369744
- Learn the further understanding of the classifier design concept, can according to your own design of linear classifier has a deeper understanding
log-n-load
- Its linear discriminant analysis
iqjpr
- 学进一步了解分类器的设计概念,能够根据自己的设计对线性分类器有更深刻地认识(Learn the further understanding of the classifier design concept, can according to your own design of linear classifier has a deeper understanding)
linear classifier
- 实现简单的线性分类器，包括图形界面可视化结果(To achieve a simple linear classifier)
fisher
- 实现简单的FISHER线性分类器。 数据格式同UCI(A simple FISHER linear classifier . Data format as UCI)