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/293183/8310171
m persc.m
%PERSC Linear classifier by non-linear perceptron
%
% [W1,W2] = persc(A,n,step,target,W)
%
% Finds the linear discriminant function W1 (a mapping) by n cycles
% of the data through the non-linear
www.eeworm.com/read/182197/9212150
h nbc.h
#ifndef NBC_TABLE_H
#define NBC_TABLE_H
#include "dataTab.h"
#include "rawDataTable.h"
#include "classInfo.h"
#include "attributeInfo.h"
// Naive Bayesian Classifier
// the class NBC_Table consist
www.eeworm.com/read/371501/9551123
m ffperceptron.m
%QUESTION NO:2
%Using the Perceptron Learning Law design a classifier for the following
%problem:
% Class C1 : [-2 2]', [-2 1.5]', [-2 0]', [1 0]' and [3 0]'
% Class C2 : [ 1 3]', [3 3]', [1 2]'
www.eeworm.com/read/360995/10070111
m dd_ex7.m
% Show how several one-class classifiers can be combined.
% To make the classifier outputs comparable, the outputs should be
% normalized using dd_normc
% Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org
www.eeworm.com/read/451547/7461986
m dd_ex7.m
% Show how several one-class classifiers can be combined.
% To make the classifier outputs comparable, the outputs should be
% normalized using dd_normc
% Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org
www.eeworm.com/read/198191/7947806
m ffperceptron.m
%QUESTION NO:2
%Using the Perceptron Learning Law design a classifier for the following
%problem:
% Class C1 : [-2 2]', [-2 1.5]', [-2 0]', [1 0]' and [3 0]'
% Class C2 : [ 1 3]', [3 3]', [1 2]'
www.eeworm.com/read/322475/13379419
m mltest1.m
function [class,Distan]=MLtest1(Pt,Tt,Cen,cinv,ppri,mode)
% Usage: [class,conf]=MLtest1(Pt,Tt,Cen,cinv,ppri,mode)
% MLtest - Maximum Likelihood Classifier testing routing
% Pt: testing set feature
www.eeworm.com/read/135153/5889759
c cls_tcindex.c
/*
* net/sched/cls_tcindex.c Packet classifier for skb->tc_index
*
* Written 1998,1999 by Werner Almesberger, EPFL ICA
*/
#include
#include
#include
www.eeworm.com/read/493294/6400470
m dd_ex7.m
% Show how several one-class classifiers can be combined.
% To make the classifier outputs comparable, the outputs should be
% normalized using dd_normc
% Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org