Classify
共 19 篇文章
Classify 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 19 篇文章，持续更新中。
员工管理系统 在一个公司里员工之间都有工作上的联系。对方的联系方式
员工管理系统
在一个公司里员工之间都有工作上的联系。对方的联系方式，部门这些资料的获取；或是上级对员工资料的更改，工资的调整，员工对资料的查看，修改。
5.1.1 功能描述
1：管理员能对员工资料进行添加，删除，修改操作。普通用户不能进行添加或删除操作
2：界面要求使用简便，操作简单
3：信息要做到保密，不同权限的用户操作不同，看到的信息也不一样
4：对不同的工资段进行高亮标记
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Abstract—In this paper, we propose transform-domain algorithms to effectively classify the characte
Abstract—In this paper, we propose transform-domain algorithms to
effectively classify the characteristics of blocks and estimate the strength
of the blocky effect. The transform-domain algorithms r
phd dissertation on visual surveillance, it is a book on how to classify motion according to a webca
phd dissertation on visual surveillance, it is a book on how to classify motion according to a webcam
Joachims的SVM-light工具包 里面含有 两个.exe文件svm_classify.exe svm_learn.exe 可以实现Transductive SVM用Anton s Matla
Joachims的SVM-light工具包 里面含有 两个.exe文件svm_classify.exe svm_learn.exe 可以实现Transductive SVM用Anton s Matlab interface to SVM light 使用会更方便
Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in se
Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve r
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by
ApMl provides users with the ability to crawl the web and download pages to their computer in a dire
ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documen
Classify using the maximum-likelyhood algorithm
Classify using the maximum-likelyhood algorithm
Classify using the minimum error criterion via histogram estimation of the densities
Classify using the minimum error criterion via histogram estimation of the densities
Programs to induce a naive possibilistic classifier (a possibilistic analog of the naive Bayes class
Programs to induce a naive possibilistic classifier (a possibilistic analog of the naive Bayes classifier) and to classify new data with an induced naive possibilistic classifier.
The goal of SPID is to provide the user with tools capable to simulate, preprocess, process and clas
The goal of SPID is to provide the user with tools capable to simulate, preprocess, process and classify in vivo and ex vivo MRS signals. These tools are embedded in a matlab graphical user interface
支持向量机
支持向量机，用于分类。Classify using (a very simple implementation of) the support vector machine algorithm
a paper about how to classify the geological features and recognize them. the kind of paper can only
a paper about how to classify the geological features and recognize them. the kind of paper can only be download from universitis.
ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to ali
ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised class
BP学习算法应用——模式分类 应用动量BP学习算法对UCI提供的经典数据库——鸢尾属植物数据库进行分类
BP学习算法应用——模式分类
应用动量BP学习算法对UCI提供的经典数据库——鸢尾属植物数据库进行分类，速度快，精度高。iris.arff为数据库文件，可用Weka数据挖掘软件打开。Iris.csv为源代码读取的数据文件，通过Weka软件转换得到。
将源文件Iris_classify.m和Iris.csv文件放入matlab的work文件夹中直接运行即可。
function [clusters,c,F]=fisher_classify(A,B,data) fisher判别法程序 输入A、B为已知类别样本的样本-变量矩阵
function [clusters,c,F]=fisher_classify(A,B,data)
fisher判别法程序
输入A、B为已知类别样本的样本-变量矩阵，data为待分类样本
输出C为判别系数向量
classify using Bayes method. 使用Bayes方法进行两类分类
classify using Bayes method. 使用Bayes方法进行两类分类，包括协方差相等和不等两种情况，非常适合初学者的程序。
Capabilities of the latest version of MultiSpec include the following. Import data Dis
Capabilities of the latest version of MultiSpec include the following.
Import data
Display multispectral images
Histogram
Reformat
Create new channels
Clust
function g=distance_classify(A,b) 距离判别法程序。 输入已分类样本A（元胞数组）
function g=distance_classify(A,b)
距离判别法程序。
输入已分类样本A（元胞数组），输入待分类样本b
输出待分类样本b的类别g
注：一般还应计算回代误差yita
输入已知分类样本的总类别数n 每类作为元胞数组的一列