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/386050/8769466
m testn.m
%TESTN Error estimate of discriminant for normal distribution.
%
% E = TESTN(W,U,G,N)
%
% INPUT
% W Trained classifier mapping
% U C x K dataset with C class means, labels and priors (default
www.eeworm.com/read/386050/8769515
m prtestc.m
%PRTESTC Test routine for the PRTOOLS classifier
%
% This script tests a given, untrained classifier w, defined in the
% workspace, e.g. w = my_classifier. The goal is to find out whether
% w fulfill
www.eeworm.com/read/386050/8769535
m prtools.m
% Pattern Recognition Tools
% Version 4.1.4 11-Oct-2008
%
%Datasets and Mappings (just most important routines)
%---------------------
%dataset Define dataset from datamatrix and labels
%datasets
www.eeworm.com/read/429504/8804832
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/428451/8867273
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/427586/8932092
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/183445/9158724
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/182376/9205755
c classifierlist.c
/*
/ (XCS-C 1.2)
/ ------------------------------------
/ Learning Classifier System based on accuracy
/
/ by
/ Martin V. Butz
/ Illinois Genetic Algorithms Laboratory (IlliGAL)
/
www.eeworm.com/read/180140/9318692
txt readme.txt
--------------------------------------------------
jBNC - Bayesian Network Classifier Toolkit in Java
--------------------------------------------------
jBNC is a Java toolkit for training, testing,
www.eeworm.com/read/179071/9374827
faq
* What is WFQ ? Where I can read more about this scheduling policy ?
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A.K. Parekh and R.G.Gallager. "A generalized processor shar