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/442927/7641937
m inputselectsequential.m
function [bestSelectedInput, bestRecogRate, allSelectedInput, allRecogRate, elapsedTime] = inputSelectSequential(DS, inputNum, classifier, param, plotOpt)
% inputSelectSequential: Input selection via
www.eeworm.com/read/441245/7672672
m knnc.m
%KNNC K-Nearest Neighbor Classifier
%
% [W,K,E] = KNNC(A,K)
% [W,K,E] = KNNC(A)
%
% INPUT
% A Dataset
% K Number of the nearest neighbors (optional; default: K is
% optimized with resp
www.eeworm.com/read/441245/7672711
m pcldc.m
%PCLDC Linear classifier using PC expansion on the joint data.
%
% W = PCLDC(A,N)
% W = PCLDC(A,ALF)
%
% INPUT
% A Dataset
% N Number of eigenvectors
% ALF Total explained variance (defau
www.eeworm.com/read/441245/7672997
m kernelc.m
%KERNELC Arbitrary kernel/dissimilarity based classifier
%
% W = KERNELC(A,KERNEL,CLASSF)
% W = A*KERNELC([],KERNEL,CLASSF)
%
% INPUT
% A Dateset used for training
% KERNEL - unt
www.eeworm.com/read/441245/7673253
m fdsc.m
%FDSC Feature based Dissimilarity Space Classification (outdated)
%
% This routine is outdated, use KERNELC instead
%
% W = FDSC(A,R,FEATMAP,TYPE,P,CLASSF)
% W = A*FDSC([],R,FEATMAP,TYPE,P,C
www.eeworm.com/read/441245/7673376
m mclassc.m
%MCLASSC Computation of multi-class classifier from 2-class discriminants
%
% W = MCLASSC(A,CLASSF,MODE)
%
% INPUT
% A Dataset
% CLASSF Untrained classifier
% MODE Type of handling mu
www.eeworm.com/read/441245/7673470
m rsscc.m
%RSSCC Random subspace combining classifier
%
% W = RSSCC(A,CLASSF,NFEAT,NCLASSF)
%
% INPUT
% A Dataset
% CLASSF Untrained base classifier
% NFEAT Number of features for train
www.eeworm.com/read/439395/7710496
tcl ns-mcast.tcl
#
# tcl/mcast/ns-mcast.tcl
#
# Copyright (C) 1997 by USC/ISI
# All rights reserved.
#
# Redi
www.eeworm.com/read/436945/7758462
m subsref.m
function g = subsref(f, s)
%QDA/SUBSREF Subscripted reference of LDA object.
% Copyright (c) 1999 Michael Kiefte.
% $Log$
switch s(1).type
case '.'
switch s(1).subs
case 'means'
h =
www.eeworm.com/read/436945/7758470
m subsref.m
function g = subsref(f, s)
%SOFTMAX/SUBSREF Access fields of SOFTMAX object or classify new data.
% $Id: subsref.m,v 1.1 1999/06/04 18:50:50 michael Exp $
% $Log: subsref.m,v $
% Revision 1.1