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/270692/11029474
cpp scs.cpp
/****************************************************************************/
/* 基本遗传学习分类系统 SCS.CPP */
/* A Simple Classifier System based on G
www.eeworm.com/read/469718/6925720
cpp scs.cpp
/****************************************************************************/
/* 基本遗传学习分类系统 SCS.CPP */
/* A Simple Classifier System based on G
www.eeworm.com/read/469123/6977869
m contents.m
% demonstration scripts and data for the gpml software
% date: 2006-03-27.
%
% data_6darm.mat - MacKay's robot arm data, with 6 input dimensions
% data_boston.mat - the boston housing data
%
www.eeworm.com/read/468922/6981902
m svmmulticlassoneagainstone.m
function [xsup,w,b,nbsv,classifier,pos,obj]=svmmulticlassoneagainstone(x,y,nbclass,c,epsilon,kernel,kerneloption,verbose,warmstart);
%[xsup,w,b,nbsv,classifier,posSigma]=svmmulticlassoneagainstone(x,
www.eeworm.com/read/466430/7034906
ndsl_makefile
# Copyright (c) 1994, 1995, 1996
# The Regents of the University of California. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are per
www.eeworm.com/read/463439/7109480
nbc 3line.nbc
/*----------------------------------------------------------------------
domains
----------------------------------------------------------------------*/
dom(X) = IR;
dom(Y) = IR;
dom(C) = { a, b, c
www.eeworm.com/read/299984/7139992
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/299984/7140028
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/299984/7140308
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/299984/7140559
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%FDSC Feature based Dissimilarity Space Classification (outdated)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% This routine is outdated, use KERNELC instead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