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/278889/10490625
m roc.m
function [AREA,SE,RESULT_S,FPR_ROC,TPR_ROC,TNa,TPa,FNa,FPa]=roc(RESULT,CLASS,fig)
% Receiver Operating Characteristic (ROC) curve of a binary classifier
%
% >> [area, se, deltab, oneMinusSpec, sen
www.eeworm.com/read/160516/10523039
m contents.m
% Pattern Recognition Tools
% Version URV 24-Mar-2004
%
% This is prelimanary, many support routines in ./private ./@datasets
% and ./@mappings are not mentioned.
%
%Datasets and Mappings (just most i
www.eeworm.com/read/160516/10523352
m prtools.m
% Pattern Recognition Tools
% Version URV 24-Mar-2004
%
% This is prelimanary, many support routines in ./private ./@datasets
% and ./@mappings are not mentioned.
%
%Datasets and Mappings (just most i
www.eeworm.com/read/423635/10543376
m findbestthresholdfdp.m
%Builds a threshols classifier for the multiclass case
%classifier.a
%classifier.b
%classifier.thr
%classifier.hm
%classifier.ind (the feature)
%classifier.positive
%classifier.NClass
%classif
www.eeworm.com/read/159921/10588471
m linclass.m
function [Ipred, Fx ]=linclass(X,alpha,theta)
% LINCLASS classifier based on linear discriminat function.
% [Ipred, Fx ]=linclass(X,alpha,theta)
%
% LINCLASS is the classifier based on a linear d
www.eeworm.com/read/421949/10676168
m roc.m
function [AREA,SE,RESULT_S,FPR_ROC,TPR_ROC,TNa,TPa,FNa,FPa]=roc(RESULT,CLASS,fig)
% Receiver Operating Characteristic (ROC) curve of a binary classifier
%
% >> [area, se, deltab, oneMinusSpec, sen
www.eeworm.com/read/421949/10677156
m linclass.m
function [Ipred, Fx ]=linclass(X,alpha,theta)
% LINCLASS classifier based on linear discriminat function.
% [Ipred, Fx ]=linclass(X,alpha,theta)
%
% LINCLASS is the classifier based on a linear d
www.eeworm.com/read/418695/10935226
m classc.m
%CLASSC Convert mapping to classifier
%
% W = classc(W)
% W = W*classc
%
% The mapping W is converted into a classifier: outputs (distances to the map)
% are converted by the sigmoid function to proba
www.eeworm.com/read/418695/10935247
m contents.m
%Pattern Recognition Tools (PRTOOLS 3.1.7)
% Version 1 February 2002 (after PRSD course)
%
%Datasets and Mappings
%---------------------
%dataset Define and retrieve dataset from datamatrix and la