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/397102/8068024
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/397102/8068038
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
www.eeworm.com/read/397102/8068376
m getreject.m
%GETREJECT Get classifier reject value
function r = getreject(w)
r = w.r;
return
www.eeworm.com/read/397102/8068525
m prtools.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
www.eeworm.com/read/397102/8068538
m maxc.m
%MAXC Maximum combining classifier
%
% W = maxc(V)
% W = V*maxc
%
% If V = [V1,V2,V3, ... ] is a set of classifiers trained on the
% same classes and W is the maximum combiner: it selects the cla
www.eeworm.com/read/397102/8068544
m fisherc.m
%FISHERC Fisher's Least Square Linear Classifier
%
% W = fisherc(A,mode,n)
%
% Finds the linear discriminant function between the classes in the
% dataset A by minimizing the errors in the least s
www.eeworm.com/read/397097/8069201
m p_map.m
%PARZEN_MAP Map a dataset on a Parzen densities based classifier
%
% F = p_map(A,W)
%
% Maps the dataset A by the Parzen density based classfier W. It
% outputs just the raw class probabilities (i.
www.eeworm.com/read/331336/12832577
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/328078/13047204
m classify.m
function [c, post] = classify(f, X);
%CLASSIFIER/CLASSIFY Categorise new data with CLASSIFIER object.
% [C, POST] = CLASSIFY(F, X) classifies the rows of the n by p
% feature matrix X given the CL
www.eeworm.com/read/139485/13154228
c fbayes.c
/*----------------------------------------------------------------------
File : fbayes.c
Contents: Full Bayes classifier management
Author : Christian Borgelt
History : 26.11.2000 file cre