代码搜索：classifiers
找到约 2,305 项符合「classifiers」的源代码
代码结果 2,305
www.eeworm.com/read/237086/13978474
tcl cipinit.tcl
Node set Num_Handoff 0
Node set oldBS 0
set CIP_DATA 0
set CIP_PAGING 1
set CIP_PAGE 2
set CIP_ROUTE 3
set MH_OFF 0
set MH_IDLE
www.eeworm.com/read/237086/13978566
tcl hfa-lib.tcl
##########################################################
## HFA-1 Library for routing modules
#
# Author: Chieh-Yih Wan (wan@comet.columbia.edu)
# 5/15/2000
Class Node/GFA-Node -supercla
www.eeworm.com/read/369609/2796361
java margincalculator.java
package weka.classifiers.bayes.net;
import weka.classifiers.bayes.net.BIFReader;
import weka.classifiers.bayes.net.ParentSet;
import weka.classifiers.bayes.net.estimate.BayesNetEstimator;
import weka
www.eeworm.com/read/386050/8768394
m plotd.m
%PLOTD Plot classifiers, outdated, use PLOTC instead
% $Id: plotd.m,v 1.2 2006/03/08 22:06:58 duin Exp $
function handle = plotd(varargin)
prtrace(mfilename);
global PLOTD_REPLACED_BY_PLOTC
if
www.eeworm.com/read/428849/8834869
m~ contents.m~
% Algorithms learning linear classifiers from finite vector sets.
%
% ekozinec - Kozinec's algorithm for eps-optimal separating hyperplane.
% ekozinec2 - Kozinec's algorithm for eps-optimal separ
www.eeworm.com/read/362246/10010387
m~ contents.m~
% Algorithms learning linear classifiers from finite vector sets.
%
% ekozinec - Kozinec's algorithm for eps-optimal separating hyperplane.
% ekozinec2 - Kozinec's algorithm for eps-optimal separ
www.eeworm.com/read/360995/10069990
m dd_ex4.m
% DD_EX4
%
% This should show the use of consistent_occ, for the optimization
% of complexity parameters of one-class classifiers. This function
% can be applied to all one-class classifiers in the to
www.eeworm.com/read/360995/10070030
m dd_ex11.m
% DD_EX11
%
% Example of the training of a multi-class classifiers, constructed from
% class-wise one-class classifiers. As a comparison, also the individual
% one-class classifiers are explicitly con
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/280595/10312291
m~ contents.m~
% Algorithms learning linear classifiers from finite vector sets.
%
% ekozinec - Kozinec's algorithm for eps-optimal separating hyperplane.
% ekozinec2 - Kozinec's algorithm for eps-optimal separ