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/293183/8310209
m baggingc.m
%BAGGINGC Bootstrapping and aggregation of classifiers
%
% W = baggingc(A,classf,n,cclassf,T)
%
% Computation of a stabilized version of a classifier by
% bootstrapping and aggregation ('bagging
www.eeworm.com/read/293183/8310218
m rbnc.m
%RBNC Radial basis neural net classifier
%
% W = rbnc(A,n)
%
% A feedforward neural network classifier with one hidden layer with
% at most n radial basis units is computed for the labeled dataset
www.eeworm.com/read/293183/8310234
m knnc.m
%KNNC K-Nearest Neighbor Classifier
%
% [W,k,e] = knnc(A,k)
%
% Computation of the k-nearest neigbor classifier for the dataset A.
% Default k: optimize leave-one-out error e. W is a mapping and
%
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m parzenc.m
%PARZENC Optimisation of the Parzen classifier
%
% [W,h,e] = parzenc(A)
%
% Computation of the optimum smoothing parameter h for the Parzen
% classifier between the classes in the dataset A. The l
www.eeworm.com/read/293183/8310315
m rsubc.m
%RSUBC Random Subspace Classifier
%
% W = rsubc(A,classf,r,n,cclassf,T)
%
% Computation of a combined classifier by selecting n random subsets
% of r features. For each of these subsets the base c
www.eeworm.com/read/293183/8310710
m getclass.m
%GETCLASS Get classifier bit of mapping
function classbit = getclass(w)
classbit = w.s;
return
www.eeworm.com/read/293183/8310740
m isclassifier.m
%ISCLASSIFIER Get classifier bit of mapping
function classbit = isclassifier(w)
classbit = w.s;
return
www.eeworm.com/read/293183/8310754
m mclassc.m
%MCLASSC Computation of multi-class classifier from 2-class discriminants
%
% W = mclassc(A,classf)
%
% The untrained classifier classf is called to compute c classifiers
% between each of the c class
www.eeworm.com/read/174385/9589691
c npi.c
/*----------------------------------------------------------------------
File : npi.c
Contents: naive possibilistic classifier induction
Author : Christian Borgelt
History : 07.02.2001 fil
www.eeworm.com/read/171628/9744592
c classifierlist.c
/*
/ (XCS)
/ ------------------------------------
/ Learning Classifier System based on accuracy
/
/ by Martin Butz
/ University of Wuerzburg / University of Illinois at Urbana/Cha