代码搜索：classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/469123/6977819
m likelihoods.m
% likelihood: likelihood functions are provided to be used by the binaryGP
% function, for binary Gaussian process classification. Two likelihood
% functions are provided:
%
% logistic
% cumGa
www.eeworm.com/read/436945/7758459
readme
This is version 0.3 of the "Discriminant Analysis Toolbox" with major
bug fixes from the first and second versions and with the addition of
logistic discriminant anlsyis and multinomial classification
www.eeworm.com/read/199325/7866523
m waveletnn_time_feature_morlet_4f2pog16q.m
%% this procedure is a simulation of wavelet artificial neural network (WNN) for modulated signal classification
%% the weights of hidden layer are wavelet functions and the mother wavelet is 'morlet
www.eeworm.com/read/328078/13047122
readme
This is version 0.3 of the "Discriminant Analysis Toolbox" with major
bug fixes from the first and second versions and with the addition of
logistic discriminant anlsyis and multinomial classification
www.eeworm.com/read/250958/12372832
java displayscale.java
/**
* file: DisplayScale.java
*
* last edited: Ryan Irwin
*
*/
/**
*
* class holds the input DataPoints classes that are to be classified as well
* as the classification algorithms needed
www.eeworm.com/read/212314/15159937
m spmbdk.m
function [MLKP] = SetParamsModel;
%
% Set parameters for 'MakeModel'
%
% Cls: classification problems (supervised)
% Reg: regression problems (supervised)
% Map: mapping problems (unsupervised)
www.eeworm.com/read/212314/15159959
m spmsompls.m
function [MLKP] = SetParamsModel;
%
% Set parameters for 'MakeModel'
%
% Cls: classification problems (supervised)
% Reg: regression problems (supervised)
% Map: mapping problems (unsupervised)
www.eeworm.com/read/212314/15159974
m setparamsmodel.m
function [MLKP] = SetParamsModel;
%
% Set parameters for 'MakeModel'
%
% Cls: classification problems (supervised)
% Reg: regression problems (supervised)
% Map: mapping problems (unsupervised)
www.eeworm.com/read/212314/15160009
m setparamsmodel.m
function [MLKP] = SetParamsModel;
%
% Set parameters for 'MakeModel'
%
% Cls: classification problems (supervised)
% Reg: regression problems (supervised)
% Map: mapping problems (unsupervised)
www.eeworm.com/read/273662/4201780
c ctype.c
/*
* ctype.c: Character classification routines
*
* ====================================================================
* Copyright (c) 2000-2004 CollabNet. All rights reserved.
*
* This soft