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/362246/10010074
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/280595/10311825
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/280595/10311834
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/159921/10588038
m oaaclass.m
function [labels,dfce,multi_dfce] = oaaclass(data,model)
% OAACLASS One-Against-All SVM classifier.
% [labels] = oaaclass(data,model)
%
% Inputs:
% data [dim x num_data] data to be classified.
% Mo
www.eeworm.com/read/159921/10588584
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/159921/10588593
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/421949/10676715
m oaaclass.m
function [labels,dfce,multi_dfce] = oaaclass(data,model)
% OAACLASS One-Against-All SVM classifier.
% [labels] = oaaclass(data,model)
%
% Inputs:
% data [dim x num_data] data to be classified.
% Mo
www.eeworm.com/read/421949/10677271
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/421949/10677282
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/418695/10935208
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