代码搜索：Classifier
找到约 4,824 项符合「Classifier」的源代码
代码结果 4,824
www.eeworm.com/read/342008/12046878
m knn_map.m
%KNN_MAP Map a dataset on a K-NN based classifier
%
% F = knn_map(A,W)
%
% Maps the dataset A by the K-NN classfier W on the [0,1] interval
% for each of the classes W is trained on. The posterior
www.eeworm.com/read/150760/12265756
m evalsvm.m
function [best_model,Errors] = evalsvm(arg1,arg2,arg3)
% EVALSVM Trains and evaluates Support Vector Machines classifier.
%
% Synopsis:
% [model,Errors] = evalsvm(data,options)
% [model,Errors] = ev
www.eeworm.com/read/128468/14295684
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/128468/14295690
m fisherp.m
function [alphas,solution,t]=fisherp(X,J,K,tmax,t,alphas)
% FISHERP learns the Fisher classifier using Perceptron rule.
% [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
%
% FISHERP This algorithm f
www.eeworm.com/read/213492/15133662
m evalsvm.m
function [best_model,Errors] = evalsvm(arg1,arg2,arg3)
% EVALSVM Trains and evaluates Support Vector Machines classifier.
%
% Synopsis:
% [model,Errors] = evalsvm(data,options)
% [model,Errors] = ev
www.eeworm.com/read/213240/15139947
m lpdd.m
function W = lpdd(x,nu,s,dtype,par)
%LPDD Linear programming distance data description
%
% W = LPDD(X,NU,S,DTYPE,P)
%
% One-class classifier put into a linear programming framework. From
% th
www.eeworm.com/read/481713/1293602
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/481713/1293604
m fisherp.m
function [alphas,solution,t]=fisherp(X,J,K,tmax,t,alphas)
% FISHERP learns the Fisher classifier using Perceptron rule.
% [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
%
% FISHERP This algorithm f
www.eeworm.com/read/459311/1570105
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/459311/1570107
m fisherp.m
function [alphas,solution,t]=fisherp(X,J,K,tmax,t,alphas)
% FISHERP learns the Fisher classifier using Perceptron rule.
% [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
%
% FISHERP This algorithm f