搜索资源列表
xticklabel_rotate
- 解决MATLAB的label字体不能旋转显示的问题，有详细使用说明。-Solve the MATLAB label rotationproblem.Detailed instructions is given.
fr
- Write a Matlab program which solves the initial value problem y = (xy − y2)/x2, y(1) = 2, by the order four Runge-Kutta method, over the interval [1, 3] using steps of h = 1/128. The exact solution to this problem is given by y(x) = x/
lp_std
- 标准label propagation的一个实现版本，实现为函数，可以直接调用即可。-As a standard implementation of label propagation algorihtm, you could integrate into your work freely.
labeling_of_image
- this code is about label in binary image in matlab. this code is corespondant whit imlabel in matlab
Floyd-Matlab
- floyd算法的matlab程序 floyd-最短路问题 输入： B-邻接矩阵(bij)，指i到j之间的距离，可以是有向的。 sp- 起点标号。 ep- 终点标号。 输出： d- 最短路的距离。 path-最短路的路径。-floyd algorithm matlab program floyd-shortest path problem Input: B-adjacency matrix (bij), refers to the distan
general_arrangement_Choose_factory
- 总图专业平面布置优化程序 输入数据物流流进厂房标号 物流关系数 物流关系标号 物流强度 根据matlab双目标优化算法计算最优平面布置方案-The total figure of professional input data layout optimization program logistics logistics flows into the plant label relationship between the number of logistics logistics st
Dijkstra-matlab
- 求第一个城市到其它城市的最短路径.用矩阵（为顶点个数）存放各边权的邻接矩阵，行向量、、、分别用来存放标号信息、标号顶点顺序、标号顶点索引、最短通路的值-The first city to find the shortest path to other cities. With a matrix (for the number of vertices) records of the right side of the adjacency matrix, row vector, were used
lsr
- A Label Switch Router (LSR) (sometimes called transit router), is a type of a router located in the middle of a Multiprotocol Label Switching (MPLS) network. It is responsible for switching the labels used to route packets. When an LSR receives
matlab-biaozhuziti
- 介绍了matlab坐标轴标注方法和设置特殊字体的方法-Matlab axis label describes the methods and ways to set a special font
label
- LABELISATION USING MATLAB FOR SZGMENTATION IMAGE BINAIR
Label-Watershed
- 适用于matlab的通过标记的分水岭算法对图像分割进行处理的算法-Matlab by marking a watershed algorithm applied to the processed image segmentation algorithm
MLkNN
- ML-KNN，这是来自传统的K-近邻（KNN）算法。详细地，为每一个看不见的实例中，首先确定了训练集中的k近邻。之后，基于从标签集获得的统计信息。这些相邻的实例，即属于每个可能类的相邻实例的数量，最大后验（MAP）原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究，即酵母基因功能分析、自然场景分类和网页自动分类，表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbo
matlab
- %N是数据一共分多少类 %data是输入的不带分类标号的数据 %u是每一类的中心 %re是返回的带分类标号的数据(%N is the number of data in total %data is an input data without a classified label %u is the center of every category %re is the returned data with classified labels)
MIMLBoost and MIMLSVM
- 压缩包中包含MIMLBOOST算法和MIMLSVM算法的matlab代码(The package includes the MATLAB code of algorithms MIMLBOOST and MIMLSVM, both which are designed to deal with multi-instance multi-label learning. It is in particular useful when a real-world object is associated
SVM
- 训练集：trainset(); 分别取bedroom(1:5,:)和forse(1:5,:)作为训练集； 测试集：testset(); 分别取bedroom(6:10,:)和forse(6:10,:)作为测试集； 标签集：label(); 取bedroom的数据为正类标签为1；forse的数据为负类标签为-1.(Training set: trainset (); take bedroom (1:5,) and forse (1:5,:) as the training set; Tes
AdaBoost算法
- 用matlab软件，实现adaboost算法。将数据集划分为训练集和测试集，给训练集的数据贴标签，用训练好的模型来测试测试数据的准确度。(Using Matlab to implement the AdaBoost algorithm. The data set is divided into training set and test set to label the data of the training set, and the accuracy of the test data i
lapsvmp_v02
- lapsvm 方法，进行半监督学习，模式识别与数据挖掘，数据分类(lapsvm method,semi-supervised learning,label unlabel)
statistics_lognormal
- 1. 608组样本，第一列数字是标号，第二列数字是出现损坏的时间，第三列表示数据有效性，为0有效 2. 损坏时间是对数正态分布的，需要拟合 3. 求均值80%置信区间 4. 成本为m，价格为s，保证盈利20%，选取保修期 5. 比较保修期和拟合数据的均值 6. 若保修期就是拟合损坏时间的均值，求出利润率 loadd.m：加载样本数据，并选取有效数据 period.m：加载成本、价格数据，计算利润和保修期的关系(1.608 groups of samples, the first nu
dbn-master
- 度信念网络是一个概率生成模型，与传统的判别模型的神经网络相对，生成模型是建立一个观察数据和标签之间的联合分布，对P(Observation|Label)和 P(Label|Observation)都做了评估，而判别模型仅仅而已评估了后者，也就是P(Label|Observation)。(The degree belief network is a probability generation model. Compared with the neural network of the tradi