代码搜索：learner
找到约 833 项符合「learner」的源代码
代码结果 833
www.eeworm.com/read/130196/5963090
m init_learn.m
function [bb, Protocol]=init_learn(bb, dataset)
% [bb, Protocol]=init_learn(bb, dataset)
%
% performs some initializations before learning
% G. Raetsch 10.12.99
% Copyright (c) 1998,1999 GMD Ber
www.eeworm.com/read/455344/7373024
m example_2.m
% Step1: reading Data from the file
file_data = load('Ionosphere.txt');
Data = file_data(:,1:end-1)';
Labels = file_data(:, end)';
Labels = Labels*2 - 1;
MaxIter = 200; % boosting iterations
www.eeworm.com/read/454193/7397145
m example_2.m
% Step1: reading Data from the file
file_data = load('Ionosphere.txt');
Data = file_data(:,1:end-1)';
Labels = file_data(:, end)';
Labels = Labels*2 - 1;
MaxIter = 200; % boosting iterations
www.eeworm.com/read/399996/7816726
m ada_boost.m
function [test_targets, E] = ada_boost(train_patterns, train_targets, test_patterns, params)
% Classify using the AdaBoost algorithm
% Inputs:
% train_patterns - Train patterns
% train_targets
www.eeworm.com/read/399996/7817079
asv ada_boost.asv
function [test_targets, E] = ada_boost(train_patterns, train_targets, test_patterns, params)
% Classify using the AdaBoost algorithm
% Inputs:
% train_patterns - Train patterns
% train_targets
www.eeworm.com/read/245941/12770848
m ada_boost.m
function [test_targets, E] = ada_boost(train_patterns, train_targets, test_patterns, params)
% Classify using the AdaBoost algorithm
% Inputs:
% train_patterns - Train patterns
% train_targets
www.eeworm.com/read/245941/12771208
asv ada_boost.asv
function [test_targets, E] = ada_boost(train_patterns, train_targets, test_patterns, params)
% Classify using the AdaBoost algorithm
% Inputs:
% train_patterns - Train patterns
% train_targets
www.eeworm.com/read/485261/6556890
m example_2.m
% Step1: reading Data from the file
file_data = load('Ionosphere.txt');
Data = file_data(:,1:end-1)';
Labels = file_data(:, end)';
Labels = Labels*2 - 1;
MaxIter = 200; % boosting iterations
www.eeworm.com/read/474600/6813449
m ada_boost.m
function [test_targets, E] = ada_boost(train_patterns, train_targets, test_patterns, params)
% Classify using the AdaBoost algorithm
% Inputs:
% train_patterns - Train patterns
% train_targets
www.eeworm.com/read/474600/6813571
asv ada_boost.asv
function [test_targets, E] = ada_boost(train_patterns, train_targets, test_patterns, params)
% Classify using the AdaBoost algorithm
% Inputs:
% train_patterns - Train patterns
% train_targets