代码搜索:classifier
找到约 4,824 项符合「classifier」的源代码
代码结果 4,824
www.eeworm.com/read/300368/13917894
java evaluationclient.java
/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either vers
www.eeworm.com/read/133883/14019117
java rsw.java
/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either vers
www.eeworm.com/read/204456/15339240
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/204456/15339361
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/204456/15339371
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/201218/15413222
m roc.m
function [AREA,SE,RESULT_S,FPR_ROC,TPR_ROC,TNa,TPa,FNa,FPa]=roc(RESULT,CLASS,fig)
% Receiver Operating Characteristic (ROC) curve of a binary classifier
%
% >> [area, se, deltab, oneMinusSpec, sen
www.eeworm.com/read/444082/7618741
pdf nearest neighbor classifier based on riemannian metric in radar target recognition.pdf
www.eeworm.com/read/188848/8510934
m c_poldemo.m
echo off
%POLDEMO demonstration for using nonlinear SVM classifier with a
% polynomial keneral.
echo on;
clc
%POLDEMO demonstration for using nonlinear SVM classifier with a
% polynomial ke
www.eeworm.com/read/188848/8510935
m c_svcdemo.m
% ------- OSU C-SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Construct a linear SVM Classifier and test it
% 2) Construct a nonlinear SVM Classifier (polynomial kernel) and t
www.eeworm.com/read/188848/8510938
m u_clademo.m
echo off
% CLADEMO demonstration for using a contructed SVM classifier to classify
% input patterns
%
echo on;
%
%
% NOTICE: please first run any of the first three demonstrations before
%