an

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

系统辨识函数的介绍，包括最小二乘法，和辅助变量法(Introduction to system identification function, including the least squares method, and the instrumental variable method)

projet 3 is very importand

说明：  用matlab编写的fft快速傅立叶变换及逆变换函数,文件用M语言写成，可以运行(Matlab prepared using fft Fast Fourier Transform and inverse transform function, M language documents, you can run)

基带信号周期采样的分析与仿真设计低通信号，对该信号进行周期采样，最后从采样数据中恢复原始信号；改变采样频率，给出相应的仿真结果；考察前端抗混叠滤波器的作用和必要性；分析后端理想恢复滤波器是否唯一。( Periodic sampling of the baseband signal analysis and simulation to design low pass signal, the signal is periodic sampling, finally recover the original signal from the sampled data changing the sampling frequency, gives the corresponding simulation results examine the front of the role of anti-aliasing filter and necessity analysis backend ideal restoration filter is unique.)

matlab针对股指期货的分笔数据做的交易策略(matlab trading system for index futures)

By using these matlab codes one can simulate awgn in any system and cam add it to any signal for further analysis

register file in vhdl and alu

说明：  在机车车辆动力学中，用matlab获得轮轨接触点(get the contact point of wheel and rail )

说明：  mushroom classify and train