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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 Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (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 Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )

This circuit takes 10V trigger pulse to trigger a triac which connect the points A and B together. This circuit can be placed to almost any stroboscope ...

this is a file related to matlab simulation for OFDM system over additive white gaussian noise channels

it will help the beginners to understand digital image processing using matlab

用matlab语言实现了实现了LMS算法,方法简单,易于实现理解(LMS algorithm using Matlab language, the method is simple, easy to implement understanding)

机器学习_斯坦福大学2013课后作业 正在学习，作业联系可以参考(Machine learning _ Stanford University 2013 Homework Are learning, you can refer to the operating contact)

a radial basis function network is an artificial neural network that uses radial basis functions as activation functions.

基于自适应滤波的DPC-MAB+SAR方位向信号重建.pdf(SAR Azimuth Signal Reconstruction Based on Adaptive Filtering for the DPC-MAB SAR System)

现代通信系统matlab第五章基带数字传输源代码(Modern communications systems Chapter matlab source code baseband digital transmission)

改进平方根法求解对称正定线性方程组，用matlab编写，可以在一定程度上提高求解效率。其中MRoot_squaring.m为原做法，sparse_cmp.m为二维等带宽存储，Moot_zonal.m为二维等带宽存储的平方根法求解(To improve the square root method to solve symmetric positive definite system of linear equations using matlab to prepare, to a certain extent improve the efficiency of solving. MRoot_squaring.m which the original approach, sparse_cmp.m for the two-dimensional, such as memory bandwidth, Moot_zonal.m for the two-dimensional, such as the square root of bandwidth storage method)