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/430506/1929359
m osusvmdemo.m
% ------- OSU SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Demonstrations of using C-SVM Classifers.
% 2) Demonstrations of using u-SVM Classifiers
% 3) Demonstration
www.eeworm.com/read/429717/1946658
tex classify_route.tex
%
% personal commentary:
% DRAFT DRAFT DRAFT
% - KFALL
%
\section{\shdr{Packet Fowarding}{classifier.h}{sec:classroute}}
Routing generally refers to the selection of a packet's path
thr
www.eeworm.com/read/429426/1948730
py accuracy.py
# Description: Learn a naive Bayesian classifier, and measure classification accuracy on the same data set
# Category: evaluation
# Uses: voting.tab
# Referenced: c_performance.htm
im
www.eeworm.com/read/429426/1948740
py nbdisc_test.py
# Description: Test of naive bayesian classifier with entropy-based discretization (as defined in nbdisc.py)
# Category: modelling
# Uses: iris.tab
# Classes: orngTest.crossValidation
www.eeworm.com/read/428780/1954269
m fld.m
function model = fld(data)
% FLD Fisher Linear Discriminat.
%
% Synopsis:
% model = fld(data)
%
% Description:
% This function computes the binary linear classifier based
% on the Fisher Linear Dis
www.eeworm.com/read/428780/1954271
asv fld.asv
function model = fld(data)
% FLD Fisher Linear Discriminat.
%
% Synopsis:
% model = fld(data)
%
% Description:
% This function computes the binary linear classifier based
% on the Fisher Linear Dis
www.eeworm.com/read/428780/1954273
m~ fld.m~
function model = fld(data)
% FLD Fisher Linear Discriminat.
%
% Synopsis:
% model = fld( data )
%
% Description:
% This function computes the binary linear classifier based
% on the Fisher Linear D
www.eeworm.com/read/411379/2188940
m osusvmdemo.m
% ------- OSU SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Demonstrations of using C-SVM Classifers.
% 2) Demonstrations of using u-SVM Classifiers
% 3) Demonstration
www.eeworm.com/read/409299/2234838
svn-base auc.m.svn-base
function area = auc(Output, Target)
%AUC Compute area under ROC curve
%
% Usage: area = auc(Output, Target)
%
% Parameters: Output - Vector of classifier output values
% Target
www.eeworm.com/read/405754/2285066
c runmlp.c
/*
# proc: mlphypscons - classifies the given set of feature vectors using
# proc: the MLP code.
# proc: runmlp - runs the MLP classifier on a given feature vector.
# proc:
*/
#include