搜索资源列表
Automaticdistinguishing
- 这几项M文件提供了扫描仪如何识别电子标签的方法，在许多场合都会涉及到这一类的智能识别。
LANDMARC算法
- 基于有源RFID系统的室内定位算法：LANDMARC。该方法采用额外的固定位置的参考标签来帮助位置校准，这些参考标签作为系统中的参考点
一个不错的Matlab的gui界面设计实例
- 一个不错的Matlab的gui界面设计实例[转] (2008-10-03 15:47:30) 标签：matlab gui 界面 校园 分类：Matlab实例 %非常漂亮的日历，网上下载的，忘了出处了
cvtMDA
- 多重判别分析，根据输入样本和标签自动生成判别空间-Multiple discriminant analysis, and labeling of the input sample space automatically generated discriminant
BSAS
- 顺序聚类算法-BSAS，并在MATLAB上实现。在输入矩阵和参数后，对其进行顺序聚类，得到聚类类别标签和聚类中心-Sequential clustering algorithm-BSAS, and implemented on MATLAB. Parameters in the input matrix and its sequential clustering, and cluster by cluster category labels center
Tabmatlab
- 在matlab的GUI界面中实现tab标签的切换功能-Implemented in the matlab interface features tab label.
WELL
- 它试图解决的问题，薄弱的标签是一个多学习一种新标签的问题，其中只有部分标签集与每个提供相关培训的例子-This package includes the MATLAB code of the multi-label learning algorithm WELL. It tries to deal with weak label problem which is a new kind of multi-label learning problem, where only a partial la
tabpanel
- matlab编的标签页，很容很强大-matlab code of the tab page, it is very strong capacity ~~~~~
bwlabel
- 为MATLAB中的图形增加标签，从而可以有效地表示图形意义，防止读不懂图的情况- BWLABEL supports 2-D inputs only, whereas BWLABELN support any input dimension. In some cases you might prefer to use BWLABELN even for 2-D problems because it can be faster. If you have a 2-
perceptron
- 感知器 算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 -PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init
myplotyy_110512
- Myplotyy情节不同的数据集具有共同的X轴使用一个数字，但个别的Y轴。 每一个曲线（Y轴）的属性可单独调整，为线性或对数尺度，正常或反向规模，置信区间等，颜色，曲线标签，... 见截图和运行示例“myplotyy_example.m”在zip文件中。 -Myplotyy plots different data sets with a common x-axis but using individual y-axes in one figure. The proper
s4vm
- 该软件包包括半监督算法S4VM，对无标签数据不产生衰退现象，或安全半监督算法的MATLAB代码。-The package includes the MATLAB code of the semi-supervised algorithm S4VM, which towards making unlabeled data never hurt, or safe semi-supervised algorithm.
ID3.m
- 机器学习经典决策树算法的实现 输入训练标签输出预测结果-the classificial machine learning algorithm, input label and traning set and get predictions
Multi-TabDemo
- 通过matlab GUI的基础控件实现了多标签页的切换-Basis by matlab GUI controls to achieve a multi-tab to switch
sliderPanel
- 在matlab的ui里创建滑动组件,具有交互式文件编辑框，标签等多种功能。-Creates a slider in a separate uipanel, with an associated interactive EditBox, and left and right labels showing the minimum and maximum values of the slider, respectively.Moving the slider automatically updates
landmarc9
- LANDMARC算法 16个参考标签 3个阅读器 1个目标标签-LANDMARC algorithm 16 reference label，3 readers，1 target label
pie-and-improved-pie
- 实现了对Matlab中饼图的改进，可以同时画标签及百分比-Realized with Matlab in the improvement of the pie chart, can draw at the same time tag and percentage
rotateticklabel
- 建立坐标轴并对坐标轴的刻度及标签进行旋转也就是旋转坐标轴刻度标签-Establish a coordinate axis and coordinate axis calibration and label rotation is the rotation axis calibration label
randomforest
- 随机森林的matlab算法实现，model是训练函数，tree是分类标签函数-Random Forest algorithm matlab, model is the training function, tree classification label function
colorize_documentbar
- 将MATLAb编辑器进行文档标签颜色化处理-The MATLAb editor label color document processing