代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
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www.eeworm.com/read/175683/9536352
m contents.m
% Support Vector Machine toolbox
% Version 2.51, January 2002
%
% SVM functions:
% svm - create a support vector machine classifier
% svmfwd - forward propagation through svm
% svmkernel - c
www.eeworm.com/read/175317/9552391
m saveclassifier.m
function classifier=saveclassifier(name,kerneltype,kernelparam,alpha,xtrain,b,lambda)
% SAVECLASSIFIER Generates a classifier structure containg details of a classifier
% ----------------------------
www.eeworm.com/read/362246/10009278
m contents.m
% Bayesian classification.
%
% bayescls - Bayesian classifier with reject option.
% bayesdf - Computes decision boundary of Bayesian classifier.
% bayeserr - Computes Bayesian risk for 1D case with G
www.eeworm.com/read/362246/10010029
m contents.m
% Visualization for pattern recognition.
%
% pandr - Visualizes solution of the Generalized Anderson's task.
% pboundary - Plots decision boundary of given classifier in 2D.
% pgauss
www.eeworm.com/read/362246/10010048
m pandr.m
function varargout = pandr(model,distrib)
% PANDR Visualizes solution of the Generalized Anderson's task.
%
% Synopsis:
% h = pandr(model)
%
% Description:
% It vizualizes solution of the Gen
www.eeworm.com/read/362246/10010072
m svmclass.m
function [y,dfce] = svmclass(X,model)
% SVMCLASS Support Vector Machines Classifier.
%
% Synopsis:
% [y,dfce] = svmclass( X, model )
%
% Description:
% [y,dfce] = svmclass( X, model ) classifies inp
www.eeworm.com/read/360995/10069881
m isocc.m
%ISOCC True for one-class classifiers
%
% isocc(w) returns true if the classifier w is a one-class classifier,
% outputting only classes 'target' and/or 'outlier' and having a
% structure with thr
www.eeworm.com/read/360995/10069901
m dd_roc.m
function [e, thr] = dd_roc(a,w)
%DD_ROC Receiver Operating Characteristic curve
%
% E = DD_ROC(A,W)
% E = DD_ROC(A*W)
% E = A*W*DD_ROC
%
% Find for a (data description) method W