orialworkofMatlab

利用matlab编程，讲解了3D成像照相记得工作原理和基本实现方法。(Using matlab programming, on a 3D imaging camera recall the basic working principle and realization method.)

说明：  placement genetic algoritm

matlab用于进行母线负荷预测，选择K作为样本的时间长度，T为连续预测的时间。数据格式为2个表格，一个是负荷数据一个是日期。(matlab used for bus load forecasting, K as the length of the sample, T is continuous forecast time. The data format is two forms, one is a load of data is a date.)

用平行截面法讨论由曲面z=x^2-y^2构成的马鞍面形状.m(code)

CDMA二代移动通信的Matlab仿真程序段，运行良好。(CDMA second-generation mobile communication segment of the Matlab simulation program, run well.)

说明：  方腔环流计算流体作业,利用MATLAB 完成(The square cavity Circulation computational fluid operation, using MATLAB completed)

对UCI数据集之一进行PCA特征抽取实验,给出在二维PCA特征空间的数据散点图。(UCI data sets on one of PCA feature extraction experiments are given in the two-dimensional PCA feature space of the data scatter.)

利用MATlab编程实现对信号的滤波分析(Programming using MATlab filtering of the signal)

维纳滤波程序,本程序用matlab 实现仿真,比较了维纳滤波和逆滤波的图像效果(Wiener filtering procedures, the procedures used to achieve matlab simulation, compared the Wiener filtering and inverse filtering of the image)

In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequal costs. This scenario occurs in many real-world applications. For example, in some disease diagnosis, the cost of erroneously diagnosing a patient as healthy is much higher than that of diagnosing a healthy person as a patient. Also, the acquisition of labeled data requires medical diagnosis which is expensive, while the collection of unlabeled data such as basic health information is much cheaper