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www.eeworm.com/read/421949/10677095
m kozinec.m
function [alpha,theta,solution,t]=kozinec(X,J,tmax,t,alpha,theta)
% KOZINEC Kozinec's algorithm searching for decision hyperplane.
% [alpha,theta,t]=kozinec(X,J,tmax,t,alpha,theta)
%
% KOZINEC i
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m ekozinec.m
function [alpha,theta,solution,t]=ekozinec(X,J,epsilon,tmax,t,alpha,theta)
% EKOZINEC finds epsilon-optimal decision hyperplane, dichotomy.
% [alpha,theta,solution,t]=ekozinec(X,J,epsilon,tmax,t,alpha
www.eeworm.com/read/421949/10677151
m perceptr.m
function [alpha,theta,solution,t]=perceptr(X,J,tmax,t,alpha,theta)
% PERCEPTR Perceptron learning rule searching for decision hyperplane.
% [alpha,theta,solution,t]=perceptr(X,J,tmax,t,alpha,theta)
%
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m fisherk.m
function [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
% FISHERK learns the Fisher classifier using Kozinec's rule.
% [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
%
% FISHERK This algorith
www.eeworm.com/read/276954/10692052
cpp kmlocal.cpp
//----------------------------------------------------------------------
// File: KMlocal.cc
// Programmer: David Mount
// Last modified: 03/27/02
// Description: k-means clustering
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txt readme.txt
Tree Structured Genetic Algorithm
An algorithm for Genetic Programming
Ben.McKay & Mark Willis
(c)
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htm index~1.htm
Genetic Algorithm Optimization Toolbox
Genetic Algorithm Optimization Toolbox (GAOT)
GAOT implements simulated evolution i
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m contents.m
% Genetic Optimization Toolbox
%
% Main interface
% ga.m The Genetic Algorithm
% initialize.m Initialization function Used by ga.m
%
% Operators used during simu
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htm gaotin~1.htm
Genetic Algorithm Optimization Toolbox (GAOT)
The following files are in the distribution:
Main interface
ga.m
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m contents.m
% HMM's
% HMM_Backward - HMM backward algorithm
% HMM_Boltzmann - Find the transition matrices of an HMM using Boltzmann networks
% HMM_Decoding - Find probable states fro