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.
標(biāo)簽：
Rauch-Tung-Striebel
algorithm
smoother
which
上傳時(shí)間：
2016-04-15
上傳用戶：zhenyushaw
In this updated and expanded edition of her excellent telecommunications primer,
Lili explains in just the right detail everything you need to know to become
fluent in this most important and fascinating industry. Besides including a
satisfying amount of expert technical detail, the book also discusses equally
crucial aspects of how communications technology affects society, culture, and
politics. Electronic communications is changing the world for the better; learn
from Lili's expertise how you, too, can participate in the revolution." STEVE Riley, senior security strategist, Microsoft
Corporation
標(biāo)簽：
Telecommunications
Essentials
Global
Source
上傳時(shí)間：
2020-06-01
上傳用戶：shancjb
