Generate the digital AWGN signal n[k] (sampled n(t)) by generating zero mean
Gaussian random variables independently (separately) for each k MATLAB function random.
A Web Tutorial on Discrete Features of Bayes Decision Theory
This applet allows for the calculation of the decision boundary given a three dimensional feature vector. Specifically, by stipulating the variables such as the priors, and the conditional likelihoods of each feature with respect to each c ...
Deployment of Server
1.install Tomcat(superior than j2sdk1.4.2 and Tomcat 5.0),and setup the envionment variables of JAVA_HOME
2.decompress file assignment2.war, and copy the directory to the directory called webapps in localhost machine.
3.start Tomcat
4.access to the application via http://< ...
IDE开发环境，可以挂载SDCC
The BASIC IDE is a new, RAD (Rapid Application Development) IDE (Integrated Development Environment) for the RapidQ programming language. The IDE currently has rich project options, a form designer (similar to Delphi s), and code editor. The BASIC IDE is being coded in Borl ...
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the ...
This text shows how to analyze programs without its source code, using a debugger and a disassembler, and covers hacking methods including virtual functions, local and global variables, branching, loops, objects and their hierarchy, and more.
PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to trace the un-informative variables is the reliability of the regression coefficients: c_j=mean(b_j)/std ...
getip1.cpp
//
// This program reports the IP address for each adapter in your machine.
// To compile from command-line type:
//
// cl getip1.cpp wsock32.lib
//
// Make sure your INCLUDE and LIB environment variables are set up properly
// you can run vcvars32.bat
The BNL toolbox is a set of Matlab functions for defining and estimating the
parameters of a Bayesian network for discrete variables in which the conditional
probability tables are specified by logistic regression models. Logistic regression can be
used to incorporate restrictions on the conditional ...
