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/400576/11573449
m dd_fp.m
function e = dd_fp(w,z,err)
%DD_FP
%
% E = DD_FP(W,Z,ERR)
%
% Change the threshold of a (trained) classifier W, such that the error
% on the target class (the fraction false negative) is set to ERR
www.eeworm.com/read/400576/11573553
m multic.m
%MULTIC Make a multi-class classifier
%
% W = MULTIC(A,V)
%
% Train the (untrained!) one-class classifier V on each of the classes
% in A, and combine it to a multi-class classifier W. If an object
www.eeworm.com/read/400576/11573581
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/400576/11573591
m optim_auc.m
function [w,optval] = optim_auc(x,wname,fracrej,range,nrbags,varargin)
%OPTIM_AUC Optimize hyperparameters for an OCC
%
% W = OPTIM_AUC(X,WNAME,FRACREJ,RANGE,NRBAGS,VARARGIN)
%
% Optimize the AUC-p
www.eeworm.com/read/256801/11971703
m tree_map.m
%TREE_MAP Map a dataset by binary decision tree
%
% F = TREE_MAP(A,W)
%
% INPUT
% A Dataset
% W Decision tree mapping
%
% OUTPUT
% F Posterior probabilities
%
% DESCRIPTION
% Maps the dataset
www.eeworm.com/read/256797/11971876
m meanc.m
%MEANC Mean combining classifier
%
% W = MEANC(V)
% W = V*MEANC
%
% INPUT
% V Set of classifiers (optional)
%
% OUTPUT
% W Mean combiner
%
% DESCRIPTION
% If V = [V1,V2,V3, ... ] is a s
www.eeworm.com/read/342008/12046916
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/342008/12046957
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/342008/12047346
m getreject.m
%GETREJECT Get classifier reject value
function r = getreject(w)
r = w.r;
return
www.eeworm.com/read/342008/12047495
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